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You searched for subject:(medical image processing). Showing records 1 – 30 of 292 total matches.

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McMaster University

1. Alemzadeh, Mehrdad. PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS.

Degree: PhD, 2016, McMaster University

Diffuse Lung Diseases (DLD), impute to 15% of respiratory practice and are accountable for a large class of disorders, primarily affecting lung parenchyma. As a… (more)

Subjects/Keywords: Medical Image processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alemzadeh, M. (2016). PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/19286

Chicago Manual of Style (16th Edition):

Alemzadeh, Mehrdad. “PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS.” 2016. Doctoral Dissertation, McMaster University. Accessed October 18, 2019. http://hdl.handle.net/11375/19286.

MLA Handbook (7th Edition):

Alemzadeh, Mehrdad. “PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS.” 2016. Web. 18 Oct 2019.

Vancouver:

Alemzadeh M. PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS. [Internet] [Doctoral dissertation]. McMaster University; 2016. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/11375/19286.

Council of Science Editors:

Alemzadeh M. PATTERN RECOGNITION AND CLASSIFICATION OF CT IMAGES OF DIFFUSE LUNG DISEASES USING FEATURE EXTRACTION AND ARTIFICIAL NEURAL NETWORKS. [Doctoral Dissertation]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/19286


Delft University of Technology

2. Rekha, S. Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:.

Degree: 2016, Delft University of Technology

 Registration between histology and ex-vivo Full Field Optical Coherence Tomography (FF-OCT) can help in many clinical applications including identifying surgical margin in a tumour tissue… (more)

Subjects/Keywords: Medical Image Processing; Image Registration

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APA (6th Edition):

Rekha, S. (2016). Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:496074f9-ebfa-4760-92a3-3bdd522279b4

Chicago Manual of Style (16th Edition):

Rekha, S. “Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:.” 2016. Masters Thesis, Delft University of Technology. Accessed October 18, 2019. http://resolver.tudelft.nl/uuid:496074f9-ebfa-4760-92a3-3bdd522279b4.

MLA Handbook (7th Edition):

Rekha, S. “Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:.” 2016. Web. 18 Oct 2019.

Vancouver:

Rekha S. Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2019 Oct 18]. Available from: http://resolver.tudelft.nl/uuid:496074f9-ebfa-4760-92a3-3bdd522279b4.

Council of Science Editors:

Rekha S. Optical Coherence Tomography - Histology Registration: An automated framework towards facilitation of intra-operative pathology:. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:496074f9-ebfa-4760-92a3-3bdd522279b4


University of Saskatchewan

3. Yu, Zexi 1989-. Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images.

Degree: 2016, University of Saskatchewan

 Positron emission tomography (PET)-Computed tomography (CT) plays an important role in cancer management. As a multi-modal imaging technique it provides both functional and anatomical information… (more)

Subjects/Keywords: Pattern Recognition; Medical Image Processing

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APA (6th Edition):

Yu, Z. 1. (2016). Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/7624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Zexi 1989-. “Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images.” 2016. Thesis, University of Saskatchewan. Accessed October 18, 2019. http://hdl.handle.net/10388/7624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Zexi 1989-. “Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images.” 2016. Web. 18 Oct 2019.

Vancouver:

Yu Z1. Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10388/7624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu Z1. Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images. [Thesis]. University of Saskatchewan; 2016. Available from: http://hdl.handle.net/10388/7624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Linköping University

4. Pettersson, Susana Bardolet. Managing imbalanced training data by sequential segmentation in machine learning.

Degree: Division of Biomedical Engineering, 2019, Linköping University

  Imbalanced training data is a common problem in machine learning applications. Thisproblem refers to datasets in which the foreground pixels are significantly fewer thanthe… (more)

Subjects/Keywords: Medical Image Processing; Medicinsk bildbehandling

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APA (6th Edition):

Pettersson, S. B. (2019). Managing imbalanced training data by sequential segmentation in machine learning. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155091

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pettersson, Susana Bardolet. “Managing imbalanced training data by sequential segmentation in machine learning.” 2019. Thesis, Linköping University. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155091.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pettersson, Susana Bardolet. “Managing imbalanced training data by sequential segmentation in machine learning.” 2019. Web. 18 Oct 2019.

Vancouver:

Pettersson SB. Managing imbalanced training data by sequential segmentation in machine learning. [Internet] [Thesis]. Linköping University; 2019. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155091.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pettersson SB. Managing imbalanced training data by sequential segmentation in machine learning. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155091

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

5. Carrizo, Gabriel. Organ Segmentation Using Deep Multi-task Learning with Anatomical Landmarks.

Degree: Biotechnology and Health (CBH), 2018, KTH

  This master thesis is the study of multi-task learning to train a neural network to segment medical images and predict anatomical landmarks. The paper… (more)

Subjects/Keywords: Medical Image Processing; Medicinsk bildbehandling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Carrizo, G. (2018). Organ Segmentation Using Deep Multi-task Learning with Anatomical Landmarks. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241640

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Carrizo, Gabriel. “Organ Segmentation Using Deep Multi-task Learning with Anatomical Landmarks.” 2018. Thesis, KTH. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241640.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Carrizo, Gabriel. “Organ Segmentation Using Deep Multi-task Learning with Anatomical Landmarks.” 2018. Web. 18 Oct 2019.

Vancouver:

Carrizo G. Organ Segmentation Using Deep Multi-task Learning with Anatomical Landmarks. [Internet] [Thesis]. KTH; 2018. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241640.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Carrizo G. Organ Segmentation Using Deep Multi-task Learning with Anatomical Landmarks. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241640

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

6. Boltshauser, Rasmus. Automatisering av skjuvvågselastografidata för kärldiagnostisk applikation.

Degree: Biomedical Engineering and Health Systems, 2018, KTH

Sammanfattning   Hjärt- och kärlsjukdommar är den ledande dödsorsaken i världen. En av det vanligaste hjärt- och kärlsjukdomarna är åderförkalkning. Sjukdomen kännetecknas av förhårdning… (more)

Subjects/Keywords: Medical Image Processing; Medicinsk bildbehandling

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APA (6th Edition):

Boltshauser, R. (2018). Automatisering av skjuvvågselastografidata för kärldiagnostisk applikation. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232088

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Boltshauser, Rasmus. “Automatisering av skjuvvågselastografidata för kärldiagnostisk applikation.” 2018. Thesis, KTH. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232088.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Boltshauser, Rasmus. “Automatisering av skjuvvågselastografidata för kärldiagnostisk applikation.” 2018. Web. 18 Oct 2019.

Vancouver:

Boltshauser R. Automatisering av skjuvvågselastografidata för kärldiagnostisk applikation. [Internet] [Thesis]. KTH; 2018. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232088.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boltshauser R. Automatisering av skjuvvågselastografidata för kärldiagnostisk applikation. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232088

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

7. Chaganti, Shikha. Contextualizing Medical Image Analyses with Electronic Health Histories.

Degree: PhD, Computer Science, 2019, Vanderbilt University

 Diseases of the optic nerve affect millions of Americans each year. These diseases include a wide range of conditions such as glaucoma, thyroid eye disease,… (more)

Subjects/Keywords: Medical Image Processing; Health Informatics

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APA (6th Edition):

Chaganti, S. (2019). Contextualizing Medical Image Analyses with Electronic Health Histories. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-02142019-013419/ ;

Chicago Manual of Style (16th Edition):

Chaganti, Shikha. “Contextualizing Medical Image Analyses with Electronic Health Histories.” 2019. Doctoral Dissertation, Vanderbilt University. Accessed October 18, 2019. http://etd.library.vanderbilt.edu/available/etd-02142019-013419/ ;.

MLA Handbook (7th Edition):

Chaganti, Shikha. “Contextualizing Medical Image Analyses with Electronic Health Histories.” 2019. Web. 18 Oct 2019.

Vancouver:

Chaganti S. Contextualizing Medical Image Analyses with Electronic Health Histories. [Internet] [Doctoral dissertation]. Vanderbilt University; 2019. [cited 2019 Oct 18]. Available from: http://etd.library.vanderbilt.edu/available/etd-02142019-013419/ ;.

Council of Science Editors:

Chaganti S. Contextualizing Medical Image Analyses with Electronic Health Histories. [Doctoral Dissertation]. Vanderbilt University; 2019. Available from: http://etd.library.vanderbilt.edu/available/etd-02142019-013419/ ;

8. Agmell, Simon. IR-Based Indoor Localisation and Positioning System.

Degree: Faculty of Science & Engineering, 2019, Linköping UniversityLinköping University

  This thesis presents a prototype beacon-based indoor positioning system using IR-based triangulation together with various inertial sensors mounted onto the receiver. By applying a… (more)

Subjects/Keywords: Medical Image Processing; Medicinsk bildbehandling

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APA (6th Edition):

Agmell, S. (2019). IR-Based Indoor Localisation and Positioning System. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158175

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Agmell, Simon. “IR-Based Indoor Localisation and Positioning System.” 2019. Thesis, Linköping UniversityLinköping University. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158175.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Agmell, Simon. “IR-Based Indoor Localisation and Positioning System.” 2019. Web. 18 Oct 2019.

Vancouver:

Agmell S. IR-Based Indoor Localisation and Positioning System. [Internet] [Thesis]. Linköping UniversityLinköping University; 2019. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158175.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Agmell S. IR-Based Indoor Localisation and Positioning System. [Thesis]. Linköping UniversityLinköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158175

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Southern California

9. Lin, Yanguang. Model based PET image reconstruction and kinetic parameter estimation.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 Positron Emission Tomography (PET) is a powerful molecular imaging technique that can provide quantitative information about molecular processes in the living body. The system detects… (more)

Subjects/Keywords: signal processing; image processing; image reconstruction; medical imaging; tomography; PET

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APA (6th Edition):

Lin, Y. (2014). Model based PET image reconstruction and kinetic parameter estimation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/454482/rec/4105

Chicago Manual of Style (16th Edition):

Lin, Yanguang. “Model based PET image reconstruction and kinetic parameter estimation.” 2014. Doctoral Dissertation, University of Southern California. Accessed October 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/454482/rec/4105.

MLA Handbook (7th Edition):

Lin, Yanguang. “Model based PET image reconstruction and kinetic parameter estimation.” 2014. Web. 18 Oct 2019.

Vancouver:

Lin Y. Model based PET image reconstruction and kinetic parameter estimation. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Oct 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/454482/rec/4105.

Council of Science Editors:

Lin Y. Model based PET image reconstruction and kinetic parameter estimation. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/454482/rec/4105

10. Boroomand, Ameneh. A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging.

Degree: 2016, University of Waterloo

 The quality of medical imaging is an important factor that can directly affect on the results of different medical imaging tests which routinely being used… (more)

Subjects/Keywords: Medical image processing; Medical image quality improvement; Probabilistic modeling

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APA (6th Edition):

Boroomand, A. (2016). A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11143

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Boroomand, Ameneh. “A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging.” 2016. Thesis, University of Waterloo. Accessed October 18, 2019. http://hdl.handle.net/10012/11143.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Boroomand, Ameneh. “A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging.” 2016. Web. 18 Oct 2019.

Vancouver:

Boroomand A. A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10012/11143.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boroomand A. A Unified Probabilistic Computational Framework for Cross-Domain Compensated Medical Imaging. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/11143

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

11. Chen, Antong. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.

Degree: PhD, Electrical Engineering, 2012, Vanderbilt University

 Cancers in the head and neck region account for approximately 3 percent of all cancers in the United States, as it is reported by the… (more)

Subjects/Keywords: IMRT; image registration; medical image processing; image segmentaiton; active shape model

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APA (6th Edition):

Chen, A. (2012). Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;

Chicago Manual of Style (16th Edition):

Chen, Antong. “Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed October 18, 2019. http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;.

MLA Handbook (7th Edition):

Chen, Antong. “Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.” 2012. Web. 18 Oct 2019.

Vancouver:

Chen A. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2019 Oct 18]. Available from: http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;.

Council of Science Editors:

Chen A. Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://etd.library.vanderbilt.edu/available/etd-07252012-171548/ ;

12. Björnfot, Cecilia. Multiband functional magnetic resonance imaging (fMRI) for functional connectivity assessments.

Degree: Physics, 2018, Umeå University

  During resting state the brain exhibits synchronized activity within all major brain networks. Using blood oxygen level dependent (BOLD) resting state functional magnetic resonance… (more)

Subjects/Keywords: Medical Image Processing; Medicinsk bildbehandling; Neurosciences; Neurovetenskaper

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APA (6th Edition):

Björnfot, C. (2018). Multiband functional magnetic resonance imaging (fMRI) for functional connectivity assessments. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149906

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Björnfot, Cecilia. “Multiband functional magnetic resonance imaging (fMRI) for functional connectivity assessments.” 2018. Thesis, Umeå University. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149906.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Björnfot, Cecilia. “Multiband functional magnetic resonance imaging (fMRI) for functional connectivity assessments.” 2018. Web. 18 Oct 2019.

Vancouver:

Björnfot C. Multiband functional magnetic resonance imaging (fMRI) for functional connectivity assessments. [Internet] [Thesis]. Umeå University; 2018. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149906.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Björnfot C. Multiband functional magnetic resonance imaging (fMRI) for functional connectivity assessments. [Thesis]. Umeå University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149906

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Toronto

13. Chen, Zihan. Non-invasive assessment of aortic coarctation severity using computational fluid dynamics.

Degree: 2017, University of Toronto

Aortic coarctation (CoA) is a congenital cardiovascular disease characterized by an abnormal narrowing of the proximal descending aorta, which can result in serious morbidity and… (more)

Subjects/Keywords: Aortic coarctation; CFD; Medical image processing; 0541

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APA (6th Edition):

Chen, Z. (2017). Non-invasive assessment of aortic coarctation severity using computational fluid dynamics. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79172

Chicago Manual of Style (16th Edition):

Chen, Zihan. “Non-invasive assessment of aortic coarctation severity using computational fluid dynamics.” 2017. Masters Thesis, University of Toronto. Accessed October 18, 2019. http://hdl.handle.net/1807/79172.

MLA Handbook (7th Edition):

Chen, Zihan. “Non-invasive assessment of aortic coarctation severity using computational fluid dynamics.” 2017. Web. 18 Oct 2019.

Vancouver:

Chen Z. Non-invasive assessment of aortic coarctation severity using computational fluid dynamics. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1807/79172.

Council of Science Editors:

Chen Z. Non-invasive assessment of aortic coarctation severity using computational fluid dynamics. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79172

14. Ben-Zikri, Yehuda K. Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2017, Rochester Institute of Technology

  Over the last decade, image processing tools have become crucial components of all clinical and research efforts involving medical imaging and associated applications. The… (more)

Subjects/Keywords: Image registration; Image segmentation; Image stitching; Localization; Medical image processing; Pulmonary nodules

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APA (6th Edition):

Ben-Zikri, Y. K. (2017). Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9476

Chicago Manual of Style (16th Edition):

Ben-Zikri, Yehuda K. “Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications.” 2017. Doctoral Dissertation, Rochester Institute of Technology. Accessed October 18, 2019. https://scholarworks.rit.edu/theses/9476.

MLA Handbook (7th Edition):

Ben-Zikri, Yehuda K. “Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications.” 2017. Web. 18 Oct 2019.

Vancouver:

Ben-Zikri YK. Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2017. [cited 2019 Oct 18]. Available from: https://scholarworks.rit.edu/theses/9476.

Council of Science Editors:

Ben-Zikri YK. Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications. [Doctoral Dissertation]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9476


Linköping University

15. Stacke, Karin. Automatic Brain Segmentation into Substructures Using Quantitative MRI.

Degree: Computer Vision, 2016, Linköping University

  Segmentation of the brain into sub-volumes has many clinical applications. Manyneurological diseases are connected with brain atrophy (tissue loss). By dividingthe brain into smaller… (more)

Subjects/Keywords: brain; brain segmentation; qMRI; MRI; quantitative MRI; substructures; image processing; image analysis; medical imaging; medical image processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Stacke, K. (2016). Automatic Brain Segmentation into Substructures Using Quantitative MRI. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128900

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stacke, Karin. “Automatic Brain Segmentation into Substructures Using Quantitative MRI.” 2016. Thesis, Linköping University. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128900.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stacke, Karin. “Automatic Brain Segmentation into Substructures Using Quantitative MRI.” 2016. Web. 18 Oct 2019.

Vancouver:

Stacke K. Automatic Brain Segmentation into Substructures Using Quantitative MRI. [Internet] [Thesis]. Linköping University; 2016. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128900.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stacke K. Automatic Brain Segmentation into Substructures Using Quantitative MRI. [Thesis]. Linköping University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128900

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brunel University

16. Sharif, Mhd Saeed. An artificial intelligent system for oncological volumetric medical PET classification.

Degree: PhD, 2013, Brunel University

 Positron emission tomography (PET) imaging is an emerging medical imaging modality. Due to its high sensitivity and ability to model physiological function, it is effective… (more)

Subjects/Keywords: 616.07; Medical imaging; Tumour; Processing; Medical scanner; Image acquisition

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APA (6th Edition):

Sharif, M. S. (2013). An artificial intelligent system for oncological volumetric medical PET classification. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/13095 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693403

Chicago Manual of Style (16th Edition):

Sharif, Mhd Saeed. “An artificial intelligent system for oncological volumetric medical PET classification.” 2013. Doctoral Dissertation, Brunel University. Accessed October 18, 2019. http://bura.brunel.ac.uk/handle/2438/13095 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693403.

MLA Handbook (7th Edition):

Sharif, Mhd Saeed. “An artificial intelligent system for oncological volumetric medical PET classification.” 2013. Web. 18 Oct 2019.

Vancouver:

Sharif MS. An artificial intelligent system for oncological volumetric medical PET classification. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2019 Oct 18]. Available from: http://bura.brunel.ac.uk/handle/2438/13095 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693403.

Council of Science Editors:

Sharif MS. An artificial intelligent system for oncological volumetric medical PET classification. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/13095 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.693403


Dublin City University

17. Péporté, Michèle. White matter volume assessment in premature infants on MRI at term - computer aided volume analysis.

Degree: School of Electronic Engineering; Dublin City University. National Biophotonics and Imaging Platform Ireland (NBIPI); Dublin City University. Research Institute for Networks and Communications Engineering (RINCE), 2014, Dublin City University

 The objective of this study is the development of an automatic segmentation framework for measuring volume changes in the white matter tissue from premature infant… (more)

Subjects/Keywords: Image processing; Computer vision; Image processing and analysis; Computer aided detection; Medical imaging

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APA (6th Edition):

Péporté, M. (2014). White matter volume assessment in premature infants on MRI at term - computer aided volume analysis. (Thesis). Dublin City University. Retrieved from http://doras.dcu.ie/19870/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Péporté, Michèle. “White matter volume assessment in premature infants on MRI at term - computer aided volume analysis.” 2014. Thesis, Dublin City University. Accessed October 18, 2019. http://doras.dcu.ie/19870/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Péporté, Michèle. “White matter volume assessment in premature infants on MRI at term - computer aided volume analysis.” 2014. Web. 18 Oct 2019.

Vancouver:

Péporté M. White matter volume assessment in premature infants on MRI at term - computer aided volume analysis. [Internet] [Thesis]. Dublin City University; 2014. [cited 2019 Oct 18]. Available from: http://doras.dcu.ie/19870/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Péporté M. White matter volume assessment in premature infants on MRI at term - computer aided volume analysis. [Thesis]. Dublin City University; 2014. Available from: http://doras.dcu.ie/19870/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Linköping University

18. Almquist, Camilla. Implementation of an automated,personalized model of the cardiovascularsystem using 4D Flow MRI.

Degree: Division of Cardiovascular Medicine, 2019, Linköping University

  A personalized cardiovascular lumped parameter model of the left-sided heart and thesystemic circulation has been developed by the cardiovascular medicine research groupat Linköping University.… (more)

Subjects/Keywords: 4D Flow MRI; Master thesis; Image processing; Heart; Blood flow; Medical Image Processing; Medicinsk bildbehandling

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APA (6th Edition):

Almquist, C. (2019). Implementation of an automated,personalized model of the cardiovascularsystem using 4D Flow MRI. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154496

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Almquist, Camilla. “Implementation of an automated,personalized model of the cardiovascularsystem using 4D Flow MRI.” 2019. Thesis, Linköping University. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154496.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Almquist, Camilla. “Implementation of an automated,personalized model of the cardiovascularsystem using 4D Flow MRI.” 2019. Web. 18 Oct 2019.

Vancouver:

Almquist C. Implementation of an automated,personalized model of the cardiovascularsystem using 4D Flow MRI. [Internet] [Thesis]. Linköping University; 2019. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154496.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Almquist C. Implementation of an automated,personalized model of the cardiovascularsystem using 4D Flow MRI. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154496

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

19. Hu, Danying. Semi-Automation in Image-guided Robotic Brain Surgery.

Degree: PhD, 2017, University of Washington

 Surgical robots have been widely used to assist surgeons to carry out dexterous surgical procedures via various ways. Robotically assisted surgery allows surgeons to overcome… (more)

Subjects/Keywords: Image-guided Robotic Surgery; Medical Automation; Medical Image Processing; Medical Robotics; Motion Control; Robotics; Medical imaging; Electrical engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hu, D. (2017). Semi-Automation in Image-guided Robotic Brain Surgery. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40048

Chicago Manual of Style (16th Edition):

Hu, Danying. “Semi-Automation in Image-guided Robotic Brain Surgery.” 2017. Doctoral Dissertation, University of Washington. Accessed October 18, 2019. http://hdl.handle.net/1773/40048.

MLA Handbook (7th Edition):

Hu, Danying. “Semi-Automation in Image-guided Robotic Brain Surgery.” 2017. Web. 18 Oct 2019.

Vancouver:

Hu D. Semi-Automation in Image-guided Robotic Brain Surgery. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1773/40048.

Council of Science Editors:

Hu D. Semi-Automation in Image-guided Robotic Brain Surgery. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/40048


NSYSU

20. Weng, Ming-hsu. Evaluation of Lung Perfusion Using Pre and Post Contrast-Enhanced CT Images â Pulmonary Embolism.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2005, NSYSU

 In recent years, computer tomography (CT) has become an increasingly important tool in the clinical diagnosis, mainly because of the advent of fast scanning techniques… (more)

Subjects/Keywords: Medical Image; Lung Perfusion; Image Processing

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APA (6th Edition):

Weng, M. (2005). Evaluation of Lung Perfusion Using Pre and Post Contrast-Enhanced CT Images â Pulmonary Embolism. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0715105-160137

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Weng, Ming-hsu. “Evaluation of Lung Perfusion Using Pre and Post Contrast-Enhanced CT Images â Pulmonary Embolism.” 2005. Thesis, NSYSU. Accessed October 18, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0715105-160137.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Weng, Ming-hsu. “Evaluation of Lung Perfusion Using Pre and Post Contrast-Enhanced CT Images â Pulmonary Embolism.” 2005. Web. 18 Oct 2019.

Vancouver:

Weng M. Evaluation of Lung Perfusion Using Pre and Post Contrast-Enhanced CT Images â Pulmonary Embolism. [Internet] [Thesis]. NSYSU; 2005. [cited 2019 Oct 18]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0715105-160137.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Weng M. Evaluation of Lung Perfusion Using Pre and Post Contrast-Enhanced CT Images â Pulmonary Embolism. [Thesis]. NSYSU; 2005. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0715105-160137

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

21. Qu, An. CUDA Accelerated 3D Non-rigid Diffeomorphic Registration.

Degree: Technology and Health (STH), 2017, KTH

  Advances of magnetic resonance imaging (MRI) techniques enable visualguidance to identify the anatomical target of interest during the image guidedintervention(IGI). Non-rigid image registration is… (more)

Subjects/Keywords: diffeopmorphic demons; non-rigid image registration; parallel programming; GPGPU; IGI; Medical Image Processing; Medicinsk bildbehandling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Qu, A. (2017). CUDA Accelerated 3D Non-rigid Diffeomorphic Registration. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211135

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Qu, An. “CUDA Accelerated 3D Non-rigid Diffeomorphic Registration.” 2017. Thesis, KTH. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211135.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Qu, An. “CUDA Accelerated 3D Non-rigid Diffeomorphic Registration.” 2017. Web. 18 Oct 2019.

Vancouver:

Qu A. CUDA Accelerated 3D Non-rigid Diffeomorphic Registration. [Internet] [Thesis]. KTH; 2017. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211135.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qu A. CUDA Accelerated 3D Non-rigid Diffeomorphic Registration. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211135

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – San Diego

22. Mehta, Nirja. Automated Cell Detection and Morphology Analysis on Microscopic Images in Imaging Flow Cytometry.

Degree: Electrical Engineering (Signal and Image Proc), 2016, University of California – San Diego

 Recent advances in imaging technologies have eased the collection of microscopic images, but efficient image analysis of this data remains a challenge. In the field… (more)

Subjects/Keywords: Electrical engineering; Engineering; Cancer cells; Image analysis; Image processing; Imaging flow cytometry; Medical imaging; Microscopy

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APA (6th Edition):

Mehta, N. (2016). Automated Cell Detection and Morphology Analysis on Microscopic Images in Imaging Flow Cytometry. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/2kt2c3mh

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mehta, Nirja. “Automated Cell Detection and Morphology Analysis on Microscopic Images in Imaging Flow Cytometry.” 2016. Thesis, University of California – San Diego. Accessed October 18, 2019. http://www.escholarship.org/uc/item/2kt2c3mh.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mehta, Nirja. “Automated Cell Detection and Morphology Analysis on Microscopic Images in Imaging Flow Cytometry.” 2016. Web. 18 Oct 2019.

Vancouver:

Mehta N. Automated Cell Detection and Morphology Analysis on Microscopic Images in Imaging Flow Cytometry. [Internet] [Thesis]. University of California – San Diego; 2016. [cited 2019 Oct 18]. Available from: http://www.escholarship.org/uc/item/2kt2c3mh.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mehta N. Automated Cell Detection and Morphology Analysis on Microscopic Images in Imaging Flow Cytometry. [Thesis]. University of California – San Diego; 2016. Available from: http://www.escholarship.org/uc/item/2kt2c3mh

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Saskatchewan

23. Miller, C. Denise. Image analysis techniques for classification of pulmonary disease in cattle.

Degree: 2007, University of Saskatchewan

 Histologic analysis of tissue samples is often a critical step in the diagnosis of disease. However, this type of assessment is inherently subjective, and consequently… (more)

Subjects/Keywords: histopathology; medical image analysis; image processing

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APA (6th Edition):

Miller, C. D. (2007). Image analysis techniques for classification of pulmonary disease in cattle. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-09122007-201315

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Miller, C Denise. “Image analysis techniques for classification of pulmonary disease in cattle.” 2007. Thesis, University of Saskatchewan. Accessed October 18, 2019. http://hdl.handle.net/10388/etd-09122007-201315.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Miller, C Denise. “Image analysis techniques for classification of pulmonary disease in cattle.” 2007. Web. 18 Oct 2019.

Vancouver:

Miller CD. Image analysis techniques for classification of pulmonary disease in cattle. [Internet] [Thesis]. University of Saskatchewan; 2007. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10388/etd-09122007-201315.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Miller CD. Image analysis techniques for classification of pulmonary disease in cattle. [Thesis]. University of Saskatchewan; 2007. Available from: http://hdl.handle.net/10388/etd-09122007-201315

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Commonwealth University

24. Wenan, Chen. Automated Measurement of Midline Shift in Brain CT Images and its Application in Computer-Aided Medical Decision Making.

Degree: PhD, Computer Science, 2010, Virginia Commonwealth University

 The severity of traumatic brain injury (TBI) is known to be characterized by the shift of the middle line in brain as the ventricular system… (more)

Subjects/Keywords: CT Image; Midline Shift; Decision Making; Medical image processing; Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Wenan, C. (2010). Automated Measurement of Midline Shift in Brain CT Images and its Application in Computer-Aided Medical Decision Making. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/121

Chicago Manual of Style (16th Edition):

Wenan, Chen. “Automated Measurement of Midline Shift in Brain CT Images and its Application in Computer-Aided Medical Decision Making.” 2010. Doctoral Dissertation, Virginia Commonwealth University. Accessed October 18, 2019. https://scholarscompass.vcu.edu/etd/121.

MLA Handbook (7th Edition):

Wenan, Chen. “Automated Measurement of Midline Shift in Brain CT Images and its Application in Computer-Aided Medical Decision Making.” 2010. Web. 18 Oct 2019.

Vancouver:

Wenan C. Automated Measurement of Midline Shift in Brain CT Images and its Application in Computer-Aided Medical Decision Making. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2010. [cited 2019 Oct 18]. Available from: https://scholarscompass.vcu.edu/etd/121.

Council of Science Editors:

Wenan C. Automated Measurement of Midline Shift in Brain CT Images and its Application in Computer-Aided Medical Decision Making. [Doctoral Dissertation]. Virginia Commonwealth University; 2010. Available from: https://scholarscompass.vcu.edu/etd/121


University of Toronto

25. Zaheer, Sameer. Fast Segmentation of Vessels in MR Liver Images using Patient Specific Models.

Degree: 2013, University of Toronto

Image-guided therapies have the potential to improve the accuracy of treating liver cancer. In order to register intraoperative with preoperative liver images, joint segmentation and… (more)

Subjects/Keywords: image segmentation; medical imaging; computer vision; image processing; vessel segmentation; 0541; 0984

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zaheer, S. (2013). Fast Segmentation of Vessels in MR Liver Images using Patient Specific Models. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/43359

Chicago Manual of Style (16th Edition):

Zaheer, Sameer. “Fast Segmentation of Vessels in MR Liver Images using Patient Specific Models.” 2013. Masters Thesis, University of Toronto. Accessed October 18, 2019. http://hdl.handle.net/1807/43359.

MLA Handbook (7th Edition):

Zaheer, Sameer. “Fast Segmentation of Vessels in MR Liver Images using Patient Specific Models.” 2013. Web. 18 Oct 2019.

Vancouver:

Zaheer S. Fast Segmentation of Vessels in MR Liver Images using Patient Specific Models. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1807/43359.

Council of Science Editors:

Zaheer S. Fast Segmentation of Vessels in MR Liver Images using Patient Specific Models. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/43359


Brunel University

26. Gonzalez, Ana Guadalupe Salazar. Structure analysis and lesion detection from retinal fundus images.

Degree: PhD, 2011, Brunel University

 Ocular pathology is one of the main health problems worldwide. The number of people with retinopathy symptoms has increased considerably in recent years. Early adequate… (more)

Subjects/Keywords: 617.71; Image processing; Retinal analysis; Image segmentation; Medical images analysis; Retinal lesion detection

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APA (6th Edition):

Gonzalez, A. G. S. (2011). Structure analysis and lesion detection from retinal fundus images. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/6456 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555678

Chicago Manual of Style (16th Edition):

Gonzalez, Ana Guadalupe Salazar. “Structure analysis and lesion detection from retinal fundus images.” 2011. Doctoral Dissertation, Brunel University. Accessed October 18, 2019. http://bura.brunel.ac.uk/handle/2438/6456 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555678.

MLA Handbook (7th Edition):

Gonzalez, Ana Guadalupe Salazar. “Structure analysis and lesion detection from retinal fundus images.” 2011. Web. 18 Oct 2019.

Vancouver:

Gonzalez AGS. Structure analysis and lesion detection from retinal fundus images. [Internet] [Doctoral dissertation]. Brunel University; 2011. [cited 2019 Oct 18]. Available from: http://bura.brunel.ac.uk/handle/2438/6456 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555678.

Council of Science Editors:

Gonzalez AGS. Structure analysis and lesion detection from retinal fundus images. [Doctoral Dissertation]. Brunel University; 2011. Available from: http://bura.brunel.ac.uk/handle/2438/6456 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555678


Loughborough University

27. Otoum, Nesreen. Medical image processing : applications in ophthalmology and total hip replacement.

Degree: PhD, 2013, Loughborough University

Medical imaging tools technologically supported by the recent advances in the areas of computer vision can provide systems that aid medical professionals to carry out… (more)

Subjects/Keywords: Medical Image Processing; Total Hip Replacement; Corneal Ulcres; Corneal Neovascularization.

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APA (6th Edition):

Otoum, N. (2013). Medical image processing : applications in ophthalmology and total hip replacement. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/11848 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572549

Chicago Manual of Style (16th Edition):

Otoum, Nesreen. “Medical image processing : applications in ophthalmology and total hip replacement.” 2013. Doctoral Dissertation, Loughborough University. Accessed October 18, 2019. https://dspace.lboro.ac.uk/2134/11848 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572549.

MLA Handbook (7th Edition):

Otoum, Nesreen. “Medical image processing : applications in ophthalmology and total hip replacement.” 2013. Web. 18 Oct 2019.

Vancouver:

Otoum N. Medical image processing : applications in ophthalmology and total hip replacement. [Internet] [Doctoral dissertation]. Loughborough University; 2013. [cited 2019 Oct 18]. Available from: https://dspace.lboro.ac.uk/2134/11848 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572549.

Council of Science Editors:

Otoum N. Medical image processing : applications in ophthalmology and total hip replacement. [Doctoral Dissertation]. Loughborough University; 2013. Available from: https://dspace.lboro.ac.uk/2134/11848 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572549


Texas A&M University

28. D'Souza, Aswin Cletus. Automated counting of cell bodies using Nissl stained cross-sectional images.

Degree: 2009, Texas A&M University

 Cell count is an important metric in neurological research. The loss in numbers of certain cells like neurons has been found to accompany not only… (more)

Subjects/Keywords: Brain Networks Laboratory; Image Processing; Medical Imaging; 3D Visualization

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APA (6th Edition):

D'Souza, A. C. (2009). Automated counting of cell bodies using Nissl stained cross-sectional images. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2035

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

D'Souza, Aswin Cletus. “Automated counting of cell bodies using Nissl stained cross-sectional images.” 2009. Thesis, Texas A&M University. Accessed October 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2035.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

D'Souza, Aswin Cletus. “Automated counting of cell bodies using Nissl stained cross-sectional images.” 2009. Web. 18 Oct 2019.

Vancouver:

D'Souza AC. Automated counting of cell bodies using Nissl stained cross-sectional images. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2035.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

D'Souza AC. Automated counting of cell bodies using Nissl stained cross-sectional images. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2035

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

29. Prabakara S. Certain investigations on anomaly detection using medical image processing schemes;.

Degree: Certain investigations on anomaly detection using medical image processing schemes, 2015, Anna University

Certain investigations on anomaly detection using medical image processing schemes newlineThe medical imaging studies brings out new discoveries in the newlineunderstanding of normal physiological function… (more)

Subjects/Keywords: Brain Disorders; Fetal Anatomy; Magnetic Resonance Images; Medical Image Processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

S, P. (2015). Certain investigations on anomaly detection using medical image processing schemes;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/33590

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

S, Prabakara. “Certain investigations on anomaly detection using medical image processing schemes;.” 2015. Thesis, Anna University. Accessed October 18, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/33590.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

S, Prabakara. “Certain investigations on anomaly detection using medical image processing schemes;.” 2015. Web. 18 Oct 2019.

Vancouver:

S P. Certain investigations on anomaly detection using medical image processing schemes;. [Internet] [Thesis]. Anna University; 2015. [cited 2019 Oct 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33590.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S P. Certain investigations on anomaly detection using medical image processing schemes;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33590

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

30. Erdal, Barbaros Selnur. DE-IDENTIFIED MULTIDIMENSIONAL MEDICAL RECORDS FOR DISEASE POPULATION DEMOGRAPHICS AND IMAGE PROCESSING TOOLS DEVELOPMENT.

Degree: PhD, Electrical and Computer Engineering, 2011, The Ohio State University

  Recently, The National Institute of Health (NIH) has outlined its scientific priorities in a strategic plan, "NIH Roadmap for Medical Research". In direct alignment… (more)

Subjects/Keywords: Engineering; Multidimensional Medical Records; De-Identification; Secondary Use; Image Processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Erdal, B. S. (2011). DE-IDENTIFIED MULTIDIMENSIONAL MEDICAL RECORDS FOR DISEASE POPULATION DEMOGRAPHICS AND IMAGE PROCESSING TOOLS DEVELOPMENT. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1324532675

Chicago Manual of Style (16th Edition):

Erdal, Barbaros Selnur. “DE-IDENTIFIED MULTIDIMENSIONAL MEDICAL RECORDS FOR DISEASE POPULATION DEMOGRAPHICS AND IMAGE PROCESSING TOOLS DEVELOPMENT.” 2011. Doctoral Dissertation, The Ohio State University. Accessed October 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1324532675.

MLA Handbook (7th Edition):

Erdal, Barbaros Selnur. “DE-IDENTIFIED MULTIDIMENSIONAL MEDICAL RECORDS FOR DISEASE POPULATION DEMOGRAPHICS AND IMAGE PROCESSING TOOLS DEVELOPMENT.” 2011. Web. 18 Oct 2019.

Vancouver:

Erdal BS. DE-IDENTIFIED MULTIDIMENSIONAL MEDICAL RECORDS FOR DISEASE POPULATION DEMOGRAPHICS AND IMAGE PROCESSING TOOLS DEVELOPMENT. [Internet] [Doctoral dissertation]. The Ohio State University; 2011. [cited 2019 Oct 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1324532675.

Council of Science Editors:

Erdal BS. DE-IDENTIFIED MULTIDIMENSIONAL MEDICAL RECORDS FOR DISEASE POPULATION DEMOGRAPHICS AND IMAGE PROCESSING TOOLS DEVELOPMENT. [Doctoral Dissertation]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1324532675

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