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You searched for subject:(Image Segmentation). Showing records 1 – 30 of 1093 total matches.

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1. Kouzana, Amira. Conception d'un cadre d'optimisation de fonctions d'énergies : application au traitement d'images : New framework design for optimizing energy functions : application to image processing.

Degree: Docteur es, Signal, Image, Automatique, 2018, Université Paris-Est

Nous proposons une nouvelle formulation de minimisation de fonctions d’énergies pour la traitement de la vision sur toute la segmentation d'image. Le problème est modélisé… (more)

Subjects/Keywords: Image; Optimisation; Segmentation; Image; Optimization; Segmentation

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

APA (6th Edition):

Kouzana, A. (2018). Conception d'un cadre d'optimisation de fonctions d'énergies : application au traitement d'images : New framework design for optimizing energy functions : application to image processing. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2018PESC1121

Chicago Manual of Style (16th Edition):

Kouzana, Amira. “Conception d'un cadre d'optimisation de fonctions d'énergies : application au traitement d'images : New framework design for optimizing energy functions : application to image processing.” 2018. Doctoral Dissertation, Université Paris-Est. Accessed June 24, 2019. http://www.theses.fr/2018PESC1121.

MLA Handbook (7th Edition):

Kouzana, Amira. “Conception d'un cadre d'optimisation de fonctions d'énergies : application au traitement d'images : New framework design for optimizing energy functions : application to image processing.” 2018. Web. 24 Jun 2019.

Vancouver:

Kouzana A. Conception d'un cadre d'optimisation de fonctions d'énergies : application au traitement d'images : New framework design for optimizing energy functions : application to image processing. [Internet] [Doctoral dissertation]. Université Paris-Est; 2018. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2018PESC1121.

Council of Science Editors:

Kouzana A. Conception d'un cadre d'optimisation de fonctions d'énergies : application au traitement d'images : New framework design for optimizing energy functions : application to image processing. [Doctoral Dissertation]. Université Paris-Est; 2018. Available from: http://www.theses.fr/2018PESC1121


Oregon State University

2. Chen, Sheng. Object Tracking-by-Segmentation in Videos.

Degree: PhD, Computer Science, 2017, Oregon State University

 This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of… (more)

Subjects/Keywords: Tracking; Image segmentation

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APA (6th Edition):

Chen, S. (2017). Object Tracking-by-Segmentation in Videos. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/60452

Chicago Manual of Style (16th Edition):

Chen, Sheng. “Object Tracking-by-Segmentation in Videos.” 2017. Doctoral Dissertation, Oregon State University. Accessed June 24, 2019. http://hdl.handle.net/1957/60452.

MLA Handbook (7th Edition):

Chen, Sheng. “Object Tracking-by-Segmentation in Videos.” 2017. Web. 24 Jun 2019.

Vancouver:

Chen S. Object Tracking-by-Segmentation in Videos. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/1957/60452.

Council of Science Editors:

Chen S. Object Tracking-by-Segmentation in Videos. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60452


University of Missouri – Columbia

3. Meena, Sachin, 1981-. Elastic map: interactive image segmentation using a few seed-points.

Degree: 2016, University of Missouri – Columbia

 Over the past two decades interactive methods for clinical and biomedical image segmentation have been investigated since the pioneering work of Live-Wire, Live-Lane [17] and… (more)

Subjects/Keywords: Image segmentation; Splines

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APA (6th Edition):

Meena, Sachin, 1. (2016). Elastic map: interactive image segmentation using a few seed-points. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/57241

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):

Meena, Sachin, 1981-. “Elastic map: interactive image segmentation using a few seed-points.” 2016. Thesis, University of Missouri – Columbia. Accessed June 24, 2019. http://hdl.handle.net/10355/57241.

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

MLA Handbook (7th Edition):

Meena, Sachin, 1981-. “Elastic map: interactive image segmentation using a few seed-points.” 2016. Web. 24 Jun 2019.

Vancouver:

Meena, Sachin 1. Elastic map: interactive image segmentation using a few seed-points. [Internet] [Thesis]. University of Missouri – Columbia; 2016. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10355/57241.

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

Council of Science Editors:

Meena, Sachin 1. Elastic map: interactive image segmentation using a few seed-points. [Thesis]. University of Missouri – Columbia; 2016. Available from: http://hdl.handle.net/10355/57241

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


Penn State University

4. Zang, Xiaonan. Ebus/ct Fusion for Image-guided Bronchoscopy.

Degree: PhD, Electrical Engineering, 2015, Penn State University

 Many technical innovations in multimodal radiologic imaging and bronchoscopy have arisen to improve lung-cancer staging techniques. Among the innovations, endobronchial ultrasound (EBUS), which provides live… (more)

Subjects/Keywords: image segmentation; image registration; ultrasound

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APA (6th Edition):

Zang, X. (2015). Ebus/ct Fusion for Image-guided Bronchoscopy. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/28651

Chicago Manual of Style (16th Edition):

Zang, Xiaonan. “Ebus/ct Fusion for Image-guided Bronchoscopy.” 2015. Doctoral Dissertation, Penn State University. Accessed June 24, 2019. https://etda.libraries.psu.edu/catalog/28651.

MLA Handbook (7th Edition):

Zang, Xiaonan. “Ebus/ct Fusion for Image-guided Bronchoscopy.” 2015. Web. 24 Jun 2019.

Vancouver:

Zang X. Ebus/ct Fusion for Image-guided Bronchoscopy. [Internet] [Doctoral dissertation]. Penn State University; 2015. [cited 2019 Jun 24]. Available from: https://etda.libraries.psu.edu/catalog/28651.

Council of Science Editors:

Zang X. Ebus/ct Fusion for Image-guided Bronchoscopy. [Doctoral Dissertation]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/28651


Rochester Institute of Technology

5. Hayes, Tyler L. Compassionately Conservative Normalized Cuts for Image Segmentation.

Degree: MS, School of Mathematical Sciences (COS), 2017, Rochester Institute of Technology

Image segmentation is a process used in computer vision to partition an image into regions with similar characteristics. One category of image segmentation algorithms… (more)

Subjects/Keywords: Graph-based segmentation; Image segmentation; Optimization

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APA (6th Edition):

Hayes, T. L. (2017). Compassionately Conservative Normalized Cuts for Image Segmentation. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9409

Chicago Manual of Style (16th Edition):

Hayes, Tyler L. “Compassionately Conservative Normalized Cuts for Image Segmentation.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed June 24, 2019. https://scholarworks.rit.edu/theses/9409.

MLA Handbook (7th Edition):

Hayes, Tyler L. “Compassionately Conservative Normalized Cuts for Image Segmentation.” 2017. Web. 24 Jun 2019.

Vancouver:

Hayes TL. Compassionately Conservative Normalized Cuts for Image Segmentation. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Jun 24]. Available from: https://scholarworks.rit.edu/theses/9409.

Council of Science Editors:

Hayes TL. Compassionately Conservative Normalized Cuts for Image Segmentation. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9409


University of Georgia

6. Jones, Felicia Samatha. Medical Image Segmentation.

Degree: MS, Computer Science, 2003, University of Georgia

 The National Library of Medicine’s Visible Human Project is a digital image library containing full color anatomical, CT and MR images representing an adult male… (more)

Subjects/Keywords: Image segmentation

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APA (6th Edition):

Jones, F. S. (2003). Medical Image Segmentation. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/jones_felicia_s_200308_ms

Chicago Manual of Style (16th Edition):

Jones, Felicia Samatha. “Medical Image Segmentation.” 2003. Masters Thesis, University of Georgia. Accessed June 24, 2019. http://purl.galileo.usg.edu/uga_etd/jones_felicia_s_200308_ms.

MLA Handbook (7th Edition):

Jones, Felicia Samatha. “Medical Image Segmentation.” 2003. Web. 24 Jun 2019.

Vancouver:

Jones FS. Medical Image Segmentation. [Internet] [Masters thesis]. University of Georgia; 2003. [cited 2019 Jun 24]. Available from: http://purl.galileo.usg.edu/uga_etd/jones_felicia_s_200308_ms.

Council of Science Editors:

Jones FS. Medical Image Segmentation. [Masters Thesis]. University of Georgia; 2003. Available from: http://purl.galileo.usg.edu/uga_etd/jones_felicia_s_200308_ms


University of Georgia

7. Gao, Xin. An image segmentation based method for stereo correlation with viewpoints at different depth locations.

Degree: MS, Computer Science, 2005, University of Georgia

 This thesis presents a method that uses image segmentation techniques to compute the depth image from a pair of stereo images which are taken from… (more)

Subjects/Keywords: Image segmentation

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APA (6th Edition):

Gao, X. (2005). An image segmentation based method for stereo correlation with viewpoints at different depth locations. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/gao_xin_200512_ms

Chicago Manual of Style (16th Edition):

Gao, Xin. “An image segmentation based method for stereo correlation with viewpoints at different depth locations.” 2005. Masters Thesis, University of Georgia. Accessed June 24, 2019. http://purl.galileo.usg.edu/uga_etd/gao_xin_200512_ms.

MLA Handbook (7th Edition):

Gao, Xin. “An image segmentation based method for stereo correlation with viewpoints at different depth locations.” 2005. Web. 24 Jun 2019.

Vancouver:

Gao X. An image segmentation based method for stereo correlation with viewpoints at different depth locations. [Internet] [Masters thesis]. University of Georgia; 2005. [cited 2019 Jun 24]. Available from: http://purl.galileo.usg.edu/uga_etd/gao_xin_200512_ms.

Council of Science Editors:

Gao X. An image segmentation based method for stereo correlation with viewpoints at different depth locations. [Masters Thesis]. University of Georgia; 2005. Available from: http://purl.galileo.usg.edu/uga_etd/gao_xin_200512_ms


University of Alberta

8. Wang, Hui. Shape-Guided Interactive Image Segmentation.

Degree: PhD, Department of Computing Science, 2012, University of Alberta

 This dissertation contributes to developing shape-guided algorithms for interactive image segmentation. Prior knowledge which describes what is expected in an image is the key to… (more)

Subjects/Keywords: interactive image segmentation; shape prior

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APA (6th Edition):

Wang, H. (2012). Shape-Guided Interactive Image Segmentation. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/7p88cg94m

Chicago Manual of Style (16th Edition):

Wang, Hui. “Shape-Guided Interactive Image Segmentation.” 2012. Doctoral Dissertation, University of Alberta. Accessed June 24, 2019. https://era.library.ualberta.ca/files/7p88cg94m.

MLA Handbook (7th Edition):

Wang, Hui. “Shape-Guided Interactive Image Segmentation.” 2012. Web. 24 Jun 2019.

Vancouver:

Wang H. Shape-Guided Interactive Image Segmentation. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2019 Jun 24]. Available from: https://era.library.ualberta.ca/files/7p88cg94m.

Council of Science Editors:

Wang H. Shape-Guided Interactive Image Segmentation. [Doctoral Dissertation]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/7p88cg94m

9. Zulaikha beevi, S. Study of medical image segmentation algorithms;.

Degree: 2015, Manonmaniam Sundaranar University

in image analysis segmentation is the partitioning of a digital image into multiple regions newlinesets of pixels according to some homogeneity criterion the problem of… (more)

Subjects/Keywords: algorithms; image; medical; segmentation

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APA (6th Edition):

Zulaikha beevi, S. (2015). Study of medical image segmentation algorithms;. (Thesis). Manonmaniam Sundaranar University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/38398

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):

Zulaikha beevi, S. “Study of medical image segmentation algorithms;.” 2015. Thesis, Manonmaniam Sundaranar University. Accessed June 24, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/38398.

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

MLA Handbook (7th Edition):

Zulaikha beevi, S. “Study of medical image segmentation algorithms;.” 2015. Web. 24 Jun 2019.

Vancouver:

Zulaikha beevi S. Study of medical image segmentation algorithms;. [Internet] [Thesis]. Manonmaniam Sundaranar University; 2015. [cited 2019 Jun 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38398.

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

Council of Science Editors:

Zulaikha beevi S. Study of medical image segmentation algorithms;. [Thesis]. Manonmaniam Sundaranar University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/38398

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


Baylor University

10. [No author]. Automated medical image segmentation.

Degree: 2017, Baylor University

 Computed Tomography (CT) is one of the most common medical diagnostic imaging techniques. Since the first clinical CT scanner was installed in the 1970s, there… (more)

Subjects/Keywords: Medical image. Auto segmentation.

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APA (6th Edition):

author], [. (2017). Automated medical image segmentation. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/10195

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):

author], [No. “Automated medical image segmentation. ” 2017. Thesis, Baylor University. Accessed June 24, 2019. http://hdl.handle.net/2104/10195.

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

MLA Handbook (7th Edition):

author], [No. “Automated medical image segmentation. ” 2017. Web. 24 Jun 2019.

Vancouver:

author] [. Automated medical image segmentation. [Internet] [Thesis]. Baylor University; 2017. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/2104/10195.

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

Council of Science Editors:

author] [. Automated medical image segmentation. [Thesis]. Baylor University; 2017. Available from: http://hdl.handle.net/2104/10195

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


University of Louisville

11. Cochran, John Marion. Model extensions and applications in mathematical imaging.

Degree: PhD, 2009, University of Louisville

 Mathematical imaging consists of many different applications including image segmentation, image classification, and inpainting. This work deals more specifically with image segmentation: the partition of… (more)

Subjects/Keywords: Image segmentation; Active contours

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APA (6th Edition):

Cochran, J. M. (2009). Model extensions and applications in mathematical imaging. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/261 ; https://ir.library.louisville.edu/etd/261

Chicago Manual of Style (16th Edition):

Cochran, John Marion. “Model extensions and applications in mathematical imaging.” 2009. Doctoral Dissertation, University of Louisville. Accessed June 24, 2019. 10.18297/etd/261 ; https://ir.library.louisville.edu/etd/261.

MLA Handbook (7th Edition):

Cochran, John Marion. “Model extensions and applications in mathematical imaging.” 2009. Web. 24 Jun 2019.

Vancouver:

Cochran JM. Model extensions and applications in mathematical imaging. [Internet] [Doctoral dissertation]. University of Louisville; 2009. [cited 2019 Jun 24]. Available from: 10.18297/etd/261 ; https://ir.library.louisville.edu/etd/261.

Council of Science Editors:

Cochran JM. Model extensions and applications in mathematical imaging. [Doctoral Dissertation]. University of Louisville; 2009. Available from: 10.18297/etd/261 ; https://ir.library.louisville.edu/etd/261


Carnegie Mellon University

12. Woods, Bronwyn Lewisia. Toward a Processing Pipeline for Two-photon Calcium Imaging of Neural Populations.

Degree: 2013, Carnegie Mellon University

 Two-photon calcium imaging (TPCI) is a functional neuroimaging technique that simultaneously reveals the function of small populations of cells as well as the structure of… (more)

Subjects/Keywords: neuroimagining; image segmentation; motion correction

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APA (6th Edition):

Woods, B. L. (2013). Toward a Processing Pipeline for Two-photon Calcium Imaging of Neural Populations. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/393

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):

Woods, Bronwyn Lewisia. “Toward a Processing Pipeline for Two-photon Calcium Imaging of Neural Populations.” 2013. Thesis, Carnegie Mellon University. Accessed June 24, 2019. http://repository.cmu.edu/dissertations/393.

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

MLA Handbook (7th Edition):

Woods, Bronwyn Lewisia. “Toward a Processing Pipeline for Two-photon Calcium Imaging of Neural Populations.” 2013. Web. 24 Jun 2019.

Vancouver:

Woods BL. Toward a Processing Pipeline for Two-photon Calcium Imaging of Neural Populations. [Internet] [Thesis]. Carnegie Mellon University; 2013. [cited 2019 Jun 24]. Available from: http://repository.cmu.edu/dissertations/393.

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

Council of Science Editors:

Woods BL. Toward a Processing Pipeline for Two-photon Calcium Imaging of Neural Populations. [Thesis]. Carnegie Mellon University; 2013. Available from: http://repository.cmu.edu/dissertations/393

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


University of Waterloo

13. Sahba, Farhang. Reinforced Segmentation of Images Containing One Object of Interest.

Degree: 2007, University of Waterloo

 In many image-processing applications, one object of interest must be segmented. The techniques used for segmentation vary depending on the particular situation and the specifications… (more)

Subjects/Keywords: Image Segmentation

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APA (6th Edition):

Sahba, F. (2007). Reinforced Segmentation of Images Containing One Object of Interest. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/3420

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):

Sahba, Farhang. “Reinforced Segmentation of Images Containing One Object of Interest.” 2007. Thesis, University of Waterloo. Accessed June 24, 2019. http://hdl.handle.net/10012/3420.

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

MLA Handbook (7th Edition):

Sahba, Farhang. “Reinforced Segmentation of Images Containing One Object of Interest.” 2007. Web. 24 Jun 2019.

Vancouver:

Sahba F. Reinforced Segmentation of Images Containing One Object of Interest. [Internet] [Thesis]. University of Waterloo; 2007. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10012/3420.

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

Council of Science Editors:

Sahba F. Reinforced Segmentation of Images Containing One Object of Interest. [Thesis]. University of Waterloo; 2007. Available from: http://hdl.handle.net/10012/3420

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


Mississippi State University

14. Hu, Lequn. DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES.

Degree: MS, Electrical and Computer Engineering, 2009, Mississippi State University

 In this thesis, algorithms for image registration and segmentation are developed to locate and identify DU penetrators and associated metal projectile debris on or near… (more)

Subjects/Keywords: image processing; registration; segmentation; LWIR

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APA (6th Edition):

Hu, L. (2009). DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;

Chicago Manual of Style (16th Edition):

Hu, Lequn. “DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES.” 2009. Masters Thesis, Mississippi State University. Accessed June 24, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;.

MLA Handbook (7th Edition):

Hu, Lequn. “DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES.” 2009. Web. 24 Jun 2019.

Vancouver:

Hu L. DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES. [Internet] [Masters thesis]. Mississippi State University; 2009. [cited 2019 Jun 24]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;.

Council of Science Editors:

Hu L. DEVELOPMENT AND EVALUATION OF IMAGE REGISTRATION AND SEGMENTATION ALGORITHMS FOR LWIR WAVELENGTH INFRARED AND VISIBLE WAVELENGTH IMAGES. [Masters Thesis]. Mississippi State University; 2009. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07082009-171221/ ;


University of Ottawa

15. Wen, Shuangyue. Automatic Tongue Contour Segmentation using Deep Learning .

Degree: 2018, University of Ottawa

 Ultrasound is one of the primary technologies used for clinical purposes. Ultrasound systems have favorable real-time capabilities, are fast and relatively inexpensive, portable and non-invasive.… (more)

Subjects/Keywords: Deep Learning; Image Segmentation; Ultrasound

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APA (6th Edition):

Wen, S. (2018). Automatic Tongue Contour Segmentation using Deep Learning . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/38343

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):

Wen, Shuangyue. “Automatic Tongue Contour Segmentation using Deep Learning .” 2018. Thesis, University of Ottawa. Accessed June 24, 2019. http://hdl.handle.net/10393/38343.

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

MLA Handbook (7th Edition):

Wen, Shuangyue. “Automatic Tongue Contour Segmentation using Deep Learning .” 2018. Web. 24 Jun 2019.

Vancouver:

Wen S. Automatic Tongue Contour Segmentation using Deep Learning . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10393/38343.

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

Council of Science Editors:

Wen S. Automatic Tongue Contour Segmentation using Deep Learning . [Thesis]. University of Ottawa; 2018. Available from: http://hdl.handle.net/10393/38343

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


University of Florida

16. Xing, Fuyong. High-throughput Biomedical Image Computing for Digital Health.

Degree: PhD, Electrical and Computer Engineering, 2017, University of Florida

 In biomedical informatics, a large amount of image data has been collected to support clinical diagnosis, treatment decision, and medical prognosis. The large volume and… (more)

Subjects/Keywords: cell  – detection  – image  – nucleus  – segmentation

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APA (6th Edition):

Xing, F. (2017). High-throughput Biomedical Image Computing for Digital Health. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0051289

Chicago Manual of Style (16th Edition):

Xing, Fuyong. “High-throughput Biomedical Image Computing for Digital Health.” 2017. Doctoral Dissertation, University of Florida. Accessed June 24, 2019. http://ufdc.ufl.edu/UFE0051289.

MLA Handbook (7th Edition):

Xing, Fuyong. “High-throughput Biomedical Image Computing for Digital Health.” 2017. Web. 24 Jun 2019.

Vancouver:

Xing F. High-throughput Biomedical Image Computing for Digital Health. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Jun 24]. Available from: http://ufdc.ufl.edu/UFE0051289.

Council of Science Editors:

Xing F. High-throughput Biomedical Image Computing for Digital Health. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0051289


Utah State University

17. Zhang, Ming. Novel Approaches to Image Segmentation Based on Neutrosophic Logic.

Degree: PhD, Computer Science, 2010, Utah State University

 Neutrosophy studies the origin, nature, scope of neutralities, and their interactions with different ideational spectra. It is a new philosophy that extends fuzzy logic and… (more)

Subjects/Keywords: Image segmentation; Neutrosophy; Computer Sciences

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APA (6th Edition):

Zhang, M. (2010). Novel Approaches to Image Segmentation Based on Neutrosophic Logic. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/795

Chicago Manual of Style (16th Edition):

Zhang, Ming. “Novel Approaches to Image Segmentation Based on Neutrosophic Logic.” 2010. Doctoral Dissertation, Utah State University. Accessed June 24, 2019. https://digitalcommons.usu.edu/etd/795.

MLA Handbook (7th Edition):

Zhang, Ming. “Novel Approaches to Image Segmentation Based on Neutrosophic Logic.” 2010. Web. 24 Jun 2019.

Vancouver:

Zhang M. Novel Approaches to Image Segmentation Based on Neutrosophic Logic. [Internet] [Doctoral dissertation]. Utah State University; 2010. [cited 2019 Jun 24]. Available from: https://digitalcommons.usu.edu/etd/795.

Council of Science Editors:

Zhang M. Novel Approaches to Image Segmentation Based on Neutrosophic Logic. [Doctoral Dissertation]. Utah State University; 2010. Available from: https://digitalcommons.usu.edu/etd/795


University of Ontario Institute of Technology

18. Darvish, Arman. User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation.

Degree: 2011, University of Ontario Institute of Technology

 Applications of imaging and image processing become a part of our daily life and find their crucial way in real-world areas. Accordingly, the corresponding techniques… (more)

Subjects/Keywords: Image processing; Segmentation; Optimization; Image enhancement

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APA (6th Edition):

Darvish, A. (2011). User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/209

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):

Darvish, Arman. “User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation.” 2011. Thesis, University of Ontario Institute of Technology. Accessed June 24, 2019. http://hdl.handle.net/10155/209.

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

MLA Handbook (7th Edition):

Darvish, Arman. “User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation.” 2011. Web. 24 Jun 2019.

Vancouver:

Darvish A. User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation. [Internet] [Thesis]. University of Ontario Institute of Technology; 2011. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10155/209.

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

Council of Science Editors:

Darvish A. User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation. [Thesis]. University of Ontario Institute of Technology; 2011. Available from: http://hdl.handle.net/10155/209

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


University of Minnesota

19. Li, Peng. FPGA-based hardware implementation of image processing algorithms for real-time vehicle detection applications.

Degree: MS, Electrical/Computer Engineering, 2012, University of Minnesota

University of Minnesota M.S. thesis. October 2012. Major: Electrical/Computer Engineering. Advisor: Hua Tang. 1 computer file (PDF); viii, 47 pages, appendix A.

It is well… (more)

Subjects/Keywords: FPGA; Image processing; Image segmentation; VLSI

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

APA (6th Edition):

Li, P. (2012). FPGA-based hardware implementation of image processing algorithms for real-time vehicle detection applications. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/140237

Chicago Manual of Style (16th Edition):

Li, Peng. “FPGA-based hardware implementation of image processing algorithms for real-time vehicle detection applications.” 2012. Masters Thesis, University of Minnesota. Accessed June 24, 2019. http://purl.umn.edu/140237.

MLA Handbook (7th Edition):

Li, Peng. “FPGA-based hardware implementation of image processing algorithms for real-time vehicle detection applications.” 2012. Web. 24 Jun 2019.

Vancouver:

Li P. FPGA-based hardware implementation of image processing algorithms for real-time vehicle detection applications. [Internet] [Masters thesis]. University of Minnesota; 2012. [cited 2019 Jun 24]. Available from: http://purl.umn.edu/140237.

Council of Science Editors:

Li P. FPGA-based hardware implementation of image processing algorithms for real-time vehicle detection applications. [Masters Thesis]. University of Minnesota; 2012. Available from: http://purl.umn.edu/140237


University of Alberta

20. Popuri, Karteek. A unified FEM-based framework for medical image registration and segmentation.

Degree: PhD, Department of Computing Science, 2013, University of Alberta

 Medical image registration and segmentation are challenging because, medical images are generally corrupted by noise, image artifacts and the various anatomical regions of interest in… (more)

Subjects/Keywords: Finite element method; Image registration; Image segmentation

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APA (6th Edition):

Popuri, K. (2013). A unified FEM-based framework for medical image registration and segmentation. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/0z708w85q

Chicago Manual of Style (16th Edition):

Popuri, Karteek. “A unified FEM-based framework for medical image registration and segmentation.” 2013. Doctoral Dissertation, University of Alberta. Accessed June 24, 2019. https://era.library.ualberta.ca/files/0z708w85q.

MLA Handbook (7th Edition):

Popuri, Karteek. “A unified FEM-based framework for medical image registration and segmentation.” 2013. Web. 24 Jun 2019.

Vancouver:

Popuri K. A unified FEM-based framework for medical image registration and segmentation. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2019 Jun 24]. Available from: https://era.library.ualberta.ca/files/0z708w85q.

Council of Science Editors:

Popuri K. A unified FEM-based framework for medical image registration and segmentation. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/0z708w85q


University of Texas – Austin

21. Jain, Suyog Dutt. Human machine collaboration for foreground segmentation in images and videos.

Degree: Computer Sciences, 2018, University of Texas – Austin

 Foreground segmentation is defined as the problem of generating pixel level foreground masks for all the objects in a given image or video. Accurate foreground… (more)

Subjects/Keywords: Computer vision; Crowdsourcing; Human machine collaboration; Image and video segmentation; Image segmentation; Video segmentation; Foreground segmentation; Object segmentation

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APA (6th Edition):

Jain, S. D. (2018). Human machine collaboration for foreground segmentation in images and videos. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63453

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):

Jain, Suyog Dutt. “Human machine collaboration for foreground segmentation in images and videos.” 2018. Thesis, University of Texas – Austin. Accessed June 24, 2019. http://hdl.handle.net/2152/63453.

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

MLA Handbook (7th Edition):

Jain, Suyog Dutt. “Human machine collaboration for foreground segmentation in images and videos.” 2018. Web. 24 Jun 2019.

Vancouver:

Jain SD. Human machine collaboration for foreground segmentation in images and videos. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/2152/63453.

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

Council of Science Editors:

Jain SD. Human machine collaboration for foreground segmentation in images and videos. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/63453

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


Northeastern University

22. Golabchi, Fatemeh Noushin. Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections.

Degree: PhD, Department of Electrical and Computer Engineering, 2013, Northeastern University

Segmentation and classification of images into desired components is a fundamental problem in biomedical image processing. In this work we address the particular problem of… (more)

Subjects/Keywords: Axon Segmentation; Histology Images; Image Segmentation; Microscopy Image Segmentation; Model based Image Segmentation; Probabilistic Graphical Models; Biomedical; Electrical and Computer Engineering

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

APA (6th Edition):

Golabchi, F. N. (2013). Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20004837

Chicago Manual of Style (16th Edition):

Golabchi, Fatemeh Noushin. “Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections.” 2013. Doctoral Dissertation, Northeastern University. Accessed June 24, 2019. http://hdl.handle.net/2047/d20004837.

MLA Handbook (7th Edition):

Golabchi, Fatemeh Noushin. “Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections.” 2013. Web. 24 Jun 2019.

Vancouver:

Golabchi FN. Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections. [Internet] [Doctoral dissertation]. Northeastern University; 2013. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/2047/d20004837.

Council of Science Editors:

Golabchi FN. Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections. [Doctoral Dissertation]. Northeastern University; 2013. Available from: http://hdl.handle.net/2047/d20004837


Brigham Young University

23. Price, Brian L. Interactive Object Selection and Matting for Video and Images.

Degree: PhD, 2010, Brigham Young University

 Video segmentation, the process of selecting an object out of a video sequence, is a fundamentally important process for video editing and special effects. However,… (more)

Subjects/Keywords: video segmentation; image segmentation; image matting; color modeling; Computer Sciences

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APA (6th Edition):

Price, B. L. (2010). Interactive Object Selection and Matting for Video and Images. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3593&context=etd

Chicago Manual of Style (16th Edition):

Price, Brian L. “Interactive Object Selection and Matting for Video and Images.” 2010. Doctoral Dissertation, Brigham Young University. Accessed June 24, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3593&context=etd.

MLA Handbook (7th Edition):

Price, Brian L. “Interactive Object Selection and Matting for Video and Images.” 2010. Web. 24 Jun 2019.

Vancouver:

Price BL. Interactive Object Selection and Matting for Video and Images. [Internet] [Doctoral dissertation]. Brigham Young University; 2010. [cited 2019 Jun 24]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3593&context=etd.

Council of Science Editors:

Price BL. Interactive Object Selection and Matting for Video and Images. [Doctoral Dissertation]. Brigham Young University; 2010. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3593&context=etd

24. Sekkal, Rafiq. Techniques visuelles pour la détection et le suivi d’objets 2D : Visual techniques for 2D object detection and tracking.

Degree: Docteur es, Traitement du signal et de l'image, 2014, Rennes, INSA

De nos jours, le traitement et l’analyse d’images trouvent leur application dans de nombreux domaines. Dans le cas de la navigation d’un robot mobile (fauteuil… (more)

Subjects/Keywords: Segmentation d'images; Segmentation spatiotemporelle; Techniques de détection; Image segmentation; Spatiotemporal segmentation; Detection technique; 621

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APA (6th Edition):

Sekkal, R. (2014). Techniques visuelles pour la détection et le suivi d’objets 2D : Visual techniques for 2D object detection and tracking. (Doctoral Dissertation). Rennes, INSA. Retrieved from http://www.theses.fr/2014ISAR0032

Chicago Manual of Style (16th Edition):

Sekkal, Rafiq. “Techniques visuelles pour la détection et le suivi d’objets 2D : Visual techniques for 2D object detection and tracking.” 2014. Doctoral Dissertation, Rennes, INSA. Accessed June 24, 2019. http://www.theses.fr/2014ISAR0032.

MLA Handbook (7th Edition):

Sekkal, Rafiq. “Techniques visuelles pour la détection et le suivi d’objets 2D : Visual techniques for 2D object detection and tracking.” 2014. Web. 24 Jun 2019.

Vancouver:

Sekkal R. Techniques visuelles pour la détection et le suivi d’objets 2D : Visual techniques for 2D object detection and tracking. [Internet] [Doctoral dissertation]. Rennes, INSA; 2014. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2014ISAR0032.

Council of Science Editors:

Sekkal R. Techniques visuelles pour la détection et le suivi d’objets 2D : Visual techniques for 2D object detection and tracking. [Doctoral Dissertation]. Rennes, INSA; 2014. Available from: http://www.theses.fr/2014ISAR0032


University of Bridgeport

25. Almotiri, Jasem. A Multi-Anatomical Retinal Structure Segmentation System For Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding .

Degree: 2018, University of Bridgeport

 Eye exam can be as efficacious as physical one in determining health concerns. Retina screening can be the very first clue to detecting a variety… (more)

Subjects/Keywords: Fuzzy systems; Image segmentation; Optic disc segmentation; Retinal exudate segmentation; Retinal vessels segmentation; Retina screening

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APA (6th Edition):

Almotiri, J. (2018). A Multi-Anatomical Retinal Structure Segmentation System For Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding . (Thesis). University of Bridgeport. Retrieved from https://scholarworks.bridgeport.edu/xmlui/handle/123456789/2494

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):

Almotiri, Jasem. “A Multi-Anatomical Retinal Structure Segmentation System For Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding .” 2018. Thesis, University of Bridgeport. Accessed June 24, 2019. https://scholarworks.bridgeport.edu/xmlui/handle/123456789/2494.

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

MLA Handbook (7th Edition):

Almotiri, Jasem. “A Multi-Anatomical Retinal Structure Segmentation System For Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding .” 2018. Web. 24 Jun 2019.

Vancouver:

Almotiri J. A Multi-Anatomical Retinal Structure Segmentation System For Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding . [Internet] [Thesis]. University of Bridgeport; 2018. [cited 2019 Jun 24]. Available from: https://scholarworks.bridgeport.edu/xmlui/handle/123456789/2494.

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

Council of Science Editors:

Almotiri J. A Multi-Anatomical Retinal Structure Segmentation System For Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding . [Thesis]. University of Bridgeport; 2018. Available from: https://scholarworks.bridgeport.edu/xmlui/handle/123456789/2494

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


University of Illinois – Urbana-Champaign

26. Xia, Tian. A hybrid approach to problems in image processing.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

 Digital image processing generally refers to the use of computer algorithms that deal with operations on or analysis of digital images. It covers a wide… (more)

Subjects/Keywords: computer graphics; image processing; image vectorization; image segmentation; image classification

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APA (6th Edition):

Xia, T. (2010). A hybrid approach to problems in image processing. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16794

Chicago Manual of Style (16th Edition):

Xia, Tian. “A hybrid approach to problems in image processing.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed June 24, 2019. http://hdl.handle.net/2142/16794.

MLA Handbook (7th Edition):

Xia, Tian. “A hybrid approach to problems in image processing.” 2010. Web. 24 Jun 2019.

Vancouver:

Xia T. A hybrid approach to problems in image processing. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/2142/16794.

Council of Science Editors:

Xia T. A hybrid approach to problems in image processing. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16794

27. Aysha, V. Document Image Segmentation and Compression using Artificial Neural Networks and Evolutionary Methods.

Degree: 2013, Cochin University of Science and Technology

The work is intended to study the following important aspects of document image processing and develop new methods. (1) Segmentation ofdocument images using adaptive interval… (more)

Subjects/Keywords: Document Image Processing; Image Segmentation; Image Compression; Fuzzy Sets; Simulated Annealing

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APA (6th Edition):

Aysha, V. (2013). Document Image Segmentation and Compression using Artificial Neural Networks and Evolutionary Methods. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/3679

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):

Aysha, V. “Document Image Segmentation and Compression using Artificial Neural Networks and Evolutionary Methods.” 2013. Thesis, Cochin University of Science and Technology. Accessed June 24, 2019. http://dyuthi.cusat.ac.in/purl/3679.

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

MLA Handbook (7th Edition):

Aysha, V. “Document Image Segmentation and Compression using Artificial Neural Networks and Evolutionary Methods.” 2013. Web. 24 Jun 2019.

Vancouver:

Aysha V. Document Image Segmentation and Compression using Artificial Neural Networks and Evolutionary Methods. [Internet] [Thesis]. Cochin University of Science and Technology; 2013. [cited 2019 Jun 24]. Available from: http://dyuthi.cusat.ac.in/purl/3679.

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

Council of Science Editors:

Aysha V. Document Image Segmentation and Compression using Artificial Neural Networks and Evolutionary Methods. [Thesis]. Cochin University of Science and Technology; 2013. Available from: http://dyuthi.cusat.ac.in/purl/3679

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

28. Li, Yujie. Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究.

Degree: 博士(工学), 2017, Kyushu Institute of Technology / 九州工業大学

 Since the 1960s, autonomous underwater vehicles (AUVs) and unmanned underwater vehicles (UUVs) have been used for deep-sea exploration. Sonar sensors also have been extensively used… (more)

Subjects/Keywords: Under Imaging; Image Enhancement; Image Segmentation; Image Dehazing

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APA (6th Edition):

Li, Y. (2017). Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究. (Thesis). Kyushu Institute of Technology / 九州工業大学. Retrieved from http://hdl.handle.net/10228/5597

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):

Li, Yujie. “Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究.” 2017. Thesis, Kyushu Institute of Technology / 九州工業大学. Accessed June 24, 2019. http://hdl.handle.net/10228/5597.

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

MLA Handbook (7th Edition):

Li, Yujie. “Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究.” 2017. Web. 24 Jun 2019.

Vancouver:

Li Y. Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究. [Internet] [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10228/5597.

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

Council of Science Editors:

Li Y. Study on Optical Image Quality Improvement for Underwater Environment : 水中環境における光学画像の画質改善に関する研究. [Thesis]. Kyushu Institute of Technology / 九州工業大学; 2017. Available from: http://hdl.handle.net/10228/5597

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


University of Melbourne

29. LIANG, XI. Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging.

Degree: 2013, University of Melbourne

 Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast is a medical imaging tool used to detect and diagnose breast disease. A DCE-MR image is… (more)

Subjects/Keywords: image processing; MRI; breast cancer; image registration; image segmentation

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APA (6th Edition):

LIANG, X. (2013). Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/52778

Chicago Manual of Style (16th Edition):

LIANG, XI. “Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging.” 2013. Doctoral Dissertation, University of Melbourne. Accessed June 24, 2019. http://hdl.handle.net/11343/52778.

MLA Handbook (7th Edition):

LIANG, XI. “Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging.” 2013. Web. 24 Jun 2019.

Vancouver:

LIANG X. Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging. [Internet] [Doctoral dissertation]. University of Melbourne; 2013. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/11343/52778.

Council of Science Editors:

LIANG X. Breast cancer detection and diagnosis in dynamic contrast-enhanced magnetic resonance imaging. [Doctoral Dissertation]. University of Melbourne; 2013. Available from: http://hdl.handle.net/11343/52778


University of Southern California

30. Woo, Jonghye. Variational techniques for cardiac image analysis: algorithms and applications.

Degree: PhD, Electrical Engineering, 2009, University of Southern California

 In this dissertation we investigate several image segmentation and registration techniques based on the variational formulation for medical imaging applications. The five main research results… (more)

Subjects/Keywords: cardiac image analysis; image registration; image segmentation; variational method

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APA (6th Edition):

Woo, J. (2009). Variational techniques for cardiac image analysis: algorithms and applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/268111/rec/7806

Chicago Manual of Style (16th Edition):

Woo, Jonghye. “Variational techniques for cardiac image analysis: algorithms and applications.” 2009. Doctoral Dissertation, University of Southern California. Accessed June 24, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/268111/rec/7806.

MLA Handbook (7th Edition):

Woo, Jonghye. “Variational techniques for cardiac image analysis: algorithms and applications.” 2009. Web. 24 Jun 2019.

Vancouver:

Woo J. Variational techniques for cardiac image analysis: algorithms and applications. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Jun 24]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/268111/rec/7806.

Council of Science Editors:

Woo J. Variational techniques for cardiac image analysis: algorithms and applications. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/268111/rec/7806

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