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You searched for subject:(Skin cancer detection). Showing records 1 – 14 of 14 total matches.

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Addis Ababa University

1. Selomie, Kindu. Skin Lesion Segmentation Using Deep Learning Algorithm and Level Set Method .

Degree: 2019, Addis Ababa University

Skin lesion can be benign or skin cancer. Skin cancer is one of the most dangerous cancers killing so many people all over the world.… (more)

Subjects/Keywords: Dermoscope; Detection; Skin Lesion; Skin Cancer; Segmentation; CDNN; Level Set

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

APA (6th Edition):

Selomie, K. (2019). Skin Lesion Segmentation Using Deep Learning Algorithm and Level Set Method . (Thesis). Addis Ababa University. Retrieved from http://10.6.20.92/handle/123456789/20928

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):

Selomie, Kindu. “Skin Lesion Segmentation Using Deep Learning Algorithm and Level Set Method .” 2019. Thesis, Addis Ababa University. Accessed March 07, 2021. http://10.6.20.92/handle/123456789/20928.

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

MLA Handbook (7th Edition):

Selomie, Kindu. “Skin Lesion Segmentation Using Deep Learning Algorithm and Level Set Method .” 2019. Web. 07 Mar 2021.

Vancouver:

Selomie K. Skin Lesion Segmentation Using Deep Learning Algorithm and Level Set Method . [Internet] [Thesis]. Addis Ababa University; 2019. [cited 2021 Mar 07]. Available from: http://10.6.20.92/handle/123456789/20928.

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

Council of Science Editors:

Selomie K. Skin Lesion Segmentation Using Deep Learning Algorithm and Level Set Method . [Thesis]. Addis Ababa University; 2019. Available from: http://10.6.20.92/handle/123456789/20928

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


University of Missouri – Columbia

2. Shin, Jae Won. High-accuracy skin lesion segmentation and size determination.

Degree: 2011, University of Missouri – Columbia

 Melanoma is one of the most common skin cancers. 5% of all cancer cases that occur in a year are cases of skin cancer and… (more)

Subjects/Keywords: skin cancer; cancer detection; diagnostic medicine; Android platform

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APA (6th Edition):

Shin, J. W. (2011). High-accuracy skin lesion segmentation and size determination. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/14600

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):

Shin, Jae Won. “High-accuracy skin lesion segmentation and size determination.” 2011. Thesis, University of Missouri – Columbia. Accessed March 07, 2021. http://hdl.handle.net/10355/14600.

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

MLA Handbook (7th Edition):

Shin, Jae Won. “High-accuracy skin lesion segmentation and size determination.” 2011. Web. 07 Mar 2021.

Vancouver:

Shin JW. High-accuracy skin lesion segmentation and size determination. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10355/14600.

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

Council of Science Editors:

Shin JW. High-accuracy skin lesion segmentation and size determination. [Thesis]. University of Missouri – Columbia; 2011. Available from: http://hdl.handle.net/10355/14600

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


University of Edinburgh

3. Aldridge, Roger Benjamin Lochore. Dermato-informatic approaches to understanding and improving lesional diagnostic expertise in cutaneous oncology.

Degree: PhD, 2018, University of Edinburgh

 Cutaneous malignancies represent a quarter of all new cancer diagnoses in the UK. The key to reducing the tumours’ associated mortality and morbidity is early… (more)

Subjects/Keywords: 616.99; skin cancer; early detection; skin lesions; diagnosis; imaging techniques; dermato-informatics

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APA (6th Edition):

Aldridge, R. B. L. (2018). Dermato-informatic approaches to understanding and improving lesional diagnostic expertise in cutaneous oncology. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/31068

Chicago Manual of Style (16th Edition):

Aldridge, Roger Benjamin Lochore. “Dermato-informatic approaches to understanding and improving lesional diagnostic expertise in cutaneous oncology.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed March 07, 2021. http://hdl.handle.net/1842/31068.

MLA Handbook (7th Edition):

Aldridge, Roger Benjamin Lochore. “Dermato-informatic approaches to understanding and improving lesional diagnostic expertise in cutaneous oncology.” 2018. Web. 07 Mar 2021.

Vancouver:

Aldridge RBL. Dermato-informatic approaches to understanding and improving lesional diagnostic expertise in cutaneous oncology. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1842/31068.

Council of Science Editors:

Aldridge RBL. Dermato-informatic approaches to understanding and improving lesional diagnostic expertise in cutaneous oncology. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/31068


Victoria University of Wellington

4. Qurrat Ul Ain. Genetic Programming based Feature Manipulation for Skin Cancer Image Classification.

Degree: 2020, Victoria University of Wellington

Skin image classification involves the development of computational methods for solving problems such as cancer detection in lesion images, and their use for biomedical research… (more)

Subjects/Keywords: Genetic Programming; Image classification; Melanoma detection; Feature selection; Feature Construction; Skin cancer detection

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APA (6th Edition):

Ain, Q. U. (2020). Genetic Programming based Feature Manipulation for Skin Cancer Image Classification. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/9392

Chicago Manual of Style (16th Edition):

Ain, Qurrat Ul. “Genetic Programming based Feature Manipulation for Skin Cancer Image Classification.” 2020. Doctoral Dissertation, Victoria University of Wellington. Accessed March 07, 2021. http://hdl.handle.net/10063/9392.

MLA Handbook (7th Edition):

Ain, Qurrat Ul. “Genetic Programming based Feature Manipulation for Skin Cancer Image Classification.” 2020. Web. 07 Mar 2021.

Vancouver:

Ain QU. Genetic Programming based Feature Manipulation for Skin Cancer Image Classification. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10063/9392.

Council of Science Editors:

Ain QU. Genetic Programming based Feature Manipulation for Skin Cancer Image Classification. [Doctoral Dissertation]. Victoria University of Wellington; 2020. Available from: http://hdl.handle.net/10063/9392


University of New Mexico

5. Godoy, Sebastian. Communication-theoretic Approach for Skin Cancer Detection using Dynamic Thermal Imaging.

Degree: Electrical and Computer Engineering, 2015, University of New Mexico

Skin cancer is the most common cancer in the United States with over 3.5M annual cases. Statistics from the Americans Cancer Society indicate that 20%… (more)

Subjects/Keywords: Detection theory; Skin-cancer detection; Statistical inference; Karhunen-Loeve expansion; Dynamic infrared imaging

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APA (6th Edition):

Godoy, S. (2015). Communication-theoretic Approach for Skin Cancer Detection using Dynamic Thermal Imaging. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/27786

Chicago Manual of Style (16th Edition):

Godoy, Sebastian. “Communication-theoretic Approach for Skin Cancer Detection using Dynamic Thermal Imaging.” 2015. Doctoral Dissertation, University of New Mexico. Accessed March 07, 2021. http://hdl.handle.net/1928/27786.

MLA Handbook (7th Edition):

Godoy, Sebastian. “Communication-theoretic Approach for Skin Cancer Detection using Dynamic Thermal Imaging.” 2015. Web. 07 Mar 2021.

Vancouver:

Godoy S. Communication-theoretic Approach for Skin Cancer Detection using Dynamic Thermal Imaging. [Internet] [Doctoral dissertation]. University of New Mexico; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1928/27786.

Council of Science Editors:

Godoy S. Communication-theoretic Approach for Skin Cancer Detection using Dynamic Thermal Imaging. [Doctoral Dissertation]. University of New Mexico; 2015. Available from: http://hdl.handle.net/1928/27786


University of Bridgeport

6. Abuzaghleh, Omar. A Portable Real-Time Noninvasive Skin Lesion Analysis System to Assist in the Melanoma Prevetion and Early Detection .

Degree: 2015, University of Bridgeport

 Melanoma spreads through metastasis, and therefore it has been proved to be very fatal. Statistical evidence has pointed out that the majority of deaths resulting… (more)

Subjects/Keywords: Computer science; Computer engineering; Detection; Image analysis; Lesion; Melanoma; Prevention; Skin cancer

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APA (6th Edition):

Abuzaghleh, O. (2015). A Portable Real-Time Noninvasive Skin Lesion Analysis System to Assist in the Melanoma Prevetion and Early Detection . (Thesis). University of Bridgeport. Retrieved from https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1052

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):

Abuzaghleh, Omar. “A Portable Real-Time Noninvasive Skin Lesion Analysis System to Assist in the Melanoma Prevetion and Early Detection .” 2015. Thesis, University of Bridgeport. Accessed March 07, 2021. https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1052.

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

MLA Handbook (7th Edition):

Abuzaghleh, Omar. “A Portable Real-Time Noninvasive Skin Lesion Analysis System to Assist in the Melanoma Prevetion and Early Detection .” 2015. Web. 07 Mar 2021.

Vancouver:

Abuzaghleh O. A Portable Real-Time Noninvasive Skin Lesion Analysis System to Assist in the Melanoma Prevetion and Early Detection . [Internet] [Thesis]. University of Bridgeport; 2015. [cited 2021 Mar 07]. Available from: https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1052.

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

Council of Science Editors:

Abuzaghleh O. A Portable Real-Time Noninvasive Skin Lesion Analysis System to Assist in the Melanoma Prevetion and Early Detection . [Thesis]. University of Bridgeport; 2015. Available from: https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1052

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


University of Texas – Austin

7. -9048-7144. Biophysical basis of skin cancer detection using Raman spectroscopy.

Degree: PhD, Biomedical Engineering, 2020, University of Texas – Austin

 The goal of this dissertation is to study the potential of Raman spectroscopy in improving the clinical diagnosis of skin cancer, including two main applications:… (more)

Subjects/Keywords: Raman spectroscopy; Skin cancer; Tissue diagnostics; Diagnostic markers; Biophysical model; Melanoma; Nonmelanoma; Surgical margin detection

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APA (6th Edition):

-9048-7144. (2020). Biophysical basis of skin cancer detection using Raman spectroscopy. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/7494

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-9048-7144. “Biophysical basis of skin cancer detection using Raman spectroscopy.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed March 07, 2021. http://dx.doi.org/10.26153/tsw/7494.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-9048-7144. “Biophysical basis of skin cancer detection using Raman spectroscopy.” 2020. Web. 07 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-9048-7144. Biophysical basis of skin cancer detection using Raman spectroscopy. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Mar 07]. Available from: http://dx.doi.org/10.26153/tsw/7494.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-9048-7144. Biophysical basis of skin cancer detection using Raman spectroscopy. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/7494

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


De Montfort University

8. Viana, Joaquim Mesquita da Cunha. Classification of skin tumours through the analysis of unconstrained images.

Degree: PhD, 2009, De Montfort University

Skin cancer is the most frequent malignant neoplasm for Caucasian individuals. According to the Skin Cancer Foundation, the incidence of melanoma, the most malignant of… (more)

Subjects/Keywords: 616.99; skin cancer; pattern recognition; classification; segmentation; edge detection

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APA (6th Edition):

Viana, J. M. d. C. (2009). Classification of skin tumours through the analysis of unconstrained images. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/2400

Chicago Manual of Style (16th Edition):

Viana, Joaquim Mesquita da Cunha. “Classification of skin tumours through the analysis of unconstrained images.” 2009. Doctoral Dissertation, De Montfort University. Accessed March 07, 2021. http://hdl.handle.net/2086/2400.

MLA Handbook (7th Edition):

Viana, Joaquim Mesquita da Cunha. “Classification of skin tumours through the analysis of unconstrained images.” 2009. Web. 07 Mar 2021.

Vancouver:

Viana JMdC. Classification of skin tumours through the analysis of unconstrained images. [Internet] [Doctoral dissertation]. De Montfort University; 2009. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2086/2400.

Council of Science Editors:

Viana JMdC. Classification of skin tumours through the analysis of unconstrained images. [Doctoral Dissertation]. De Montfort University; 2009. Available from: http://hdl.handle.net/2086/2400


Ohio University

9. Dhinagar, Nikhil J. Morphological Change Monitoring of Skin Lesions for Early Melanoma Detection.

Degree: PhD, Electrical Engineering & Computer Science (Engineering and Technology), 2018, Ohio University

 Changes in the morphology of a skin lesion is indicative of melanoma, a deadly type of skin cancer. This dissertation proposes a temporal analysis method… (more)

Subjects/Keywords: Electrical Engineering; Medical Imaging; Oncology; Computer Science; Skin cancer detection; melanoma diagnosis; temporal skin lesion analysis; change detection; medical image analysis; computer-assisted diagnosis; computer vision; image processing; deep learning; artificial intelligence; digital image pre-processing

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

APA (6th Edition):

Dhinagar, N. J. (2018). Morphological Change Monitoring of Skin Lesions for Early Melanoma Detection. (Doctoral Dissertation). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1533911373953079

Chicago Manual of Style (16th Edition):

Dhinagar, Nikhil J. “Morphological Change Monitoring of Skin Lesions for Early Melanoma Detection.” 2018. Doctoral Dissertation, Ohio University. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1533911373953079.

MLA Handbook (7th Edition):

Dhinagar, Nikhil J. “Morphological Change Monitoring of Skin Lesions for Early Melanoma Detection.” 2018. Web. 07 Mar 2021.

Vancouver:

Dhinagar NJ. Morphological Change Monitoring of Skin Lesions for Early Melanoma Detection. [Internet] [Doctoral dissertation]. Ohio University; 2018. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1533911373953079.

Council of Science Editors:

Dhinagar NJ. Morphological Change Monitoring of Skin Lesions for Early Melanoma Detection. [Doctoral Dissertation]. Ohio University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1533911373953079

10. Vinícius Borges Pires. Utilização de equações diferenciais parciais para eliminação de ruídos e detecção de bordas.

Degree: 2008, Federal University of Uberlândia

A detecção de bordas em imagens digitais é um campo de pesquisa que tem atraído grande interesse da comunidade científica. Suas aplicações vão desde a… (more)

Subjects/Keywords: Câncer de pele; Detecção de bordas; Equações diferenciais parciais; Métodos variacionais; Remoção de ruídos; Supressão surround; CIENCIA DA COMPUTACAO; Processamento de imagens; Skin cancer; Edge detection; Partial differential equations; Variational methods; Noise removal; Surround suppression

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APA (6th Edition):

Pires, V. B. (2008). Utilização de equações diferenciais parciais para eliminação de ruídos e detecção de bordas. (Thesis). Federal University of Uberlândia. Retrieved from http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2218

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):

Pires, Vinícius Borges. “Utilização de equações diferenciais parciais para eliminação de ruídos e detecção de bordas.” 2008. Thesis, Federal University of Uberlândia. Accessed March 07, 2021. http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2218.

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

MLA Handbook (7th Edition):

Pires, Vinícius Borges. “Utilização de equações diferenciais parciais para eliminação de ruídos e detecção de bordas.” 2008. Web. 07 Mar 2021.

Vancouver:

Pires VB. Utilização de equações diferenciais parciais para eliminação de ruídos e detecção de bordas. [Internet] [Thesis]. Federal University of Uberlândia; 2008. [cited 2021 Mar 07]. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2218.

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

Council of Science Editors:

Pires VB. Utilização de equações diferenciais parciais para eliminação de ruídos e detecção de bordas. [Thesis]. Federal University of Uberlândia; 2008. Available from: http://www.bdtd.ufu.br//tde_busca/arquivo.php?codArquivo=2218

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

11. Kretzler, Madison Elizabeth. AUTOMATED CURVED HAIR DETECTION AND REMOVAL IN SKIN IMAGES TO SUPPORT AUTOMATED MELANOMA DETECTION.

Degree: MSs, EECS - Electrical Engineering, 2013, Case Western Reserve University School of Graduate Studies

 If detected early, skin cancer has a 95-100% successful treatment rate; therefore early detection is crucial and several computer-aided methods have been developed to assist… (more)

Subjects/Keywords: Electrical Engineering; Image Processing Hair Curve Detection Skin Lesion Cancer Radon Transform Quadratic Automated Melanoma

…MADISON KRETZLER Automated Melanoma Detection If detected early, skin cancer has a 95-100… …detection, and interpolation replacement. 12 1 Introduction Skin cancer is the most common… …of skin cancer. Different methods of automation of melanoma detection and diagnosis are… …101 11 Abstract Automated Curved Hair Detection and Removal in Skin Images to Support… …percent of all diagnosed skin cancer cases [2] [3]: basal cell carcinoma… 

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APA (6th Edition):

Kretzler, M. E. (2013). AUTOMATED CURVED HAIR DETECTION AND REMOVAL IN SKIN IMAGES TO SUPPORT AUTOMATED MELANOMA DETECTION. (Masters Thesis). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1365125074

Chicago Manual of Style (16th Edition):

Kretzler, Madison Elizabeth. “AUTOMATED CURVED HAIR DETECTION AND REMOVAL IN SKIN IMAGES TO SUPPORT AUTOMATED MELANOMA DETECTION.” 2013. Masters Thesis, Case Western Reserve University School of Graduate Studies. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1365125074.

MLA Handbook (7th Edition):

Kretzler, Madison Elizabeth. “AUTOMATED CURVED HAIR DETECTION AND REMOVAL IN SKIN IMAGES TO SUPPORT AUTOMATED MELANOMA DETECTION.” 2013. Web. 07 Mar 2021.

Vancouver:

Kretzler ME. AUTOMATED CURVED HAIR DETECTION AND REMOVAL IN SKIN IMAGES TO SUPPORT AUTOMATED MELANOMA DETECTION. [Internet] [Masters thesis]. Case Western Reserve University School of Graduate Studies; 2013. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1365125074.

Council of Science Editors:

Kretzler ME. AUTOMATED CURVED HAIR DETECTION AND REMOVAL IN SKIN IMAGES TO SUPPORT AUTOMATED MELANOMA DETECTION. [Masters Thesis]. Case Western Reserve University School of Graduate Studies; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1365125074


University of Toledo

12. Yuan, Ye. Investigation of Skin and Skin Components Using Polarized Fluorescence and Polarized Reflectance Towards the Detection of Cutaneous Melanoma.

Degree: PhD, Bioengineering, 2006, University of Toledo

 In an effort to investigate viability of using autofluorescence to detect superficial skin cancer (melanoma), polarized fluorescence spectroscopy was employed with the goal of reducing… (more)

Subjects/Keywords: Biophotonics; Fluorescence anisotropy; Autofluorescence; Reflectance; Polarization; Tissue diagnostics; Cell diagnostics; Skin; Cancer detection; Melanoma

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APA (6th Edition):

Yuan, Y. (2006). Investigation of Skin and Skin Components Using Polarized Fluorescence and Polarized Reflectance Towards the Detection of Cutaneous Melanoma. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1147284058

Chicago Manual of Style (16th Edition):

Yuan, Ye. “Investigation of Skin and Skin Components Using Polarized Fluorescence and Polarized Reflectance Towards the Detection of Cutaneous Melanoma.” 2006. Doctoral Dissertation, University of Toledo. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1147284058.

MLA Handbook (7th Edition):

Yuan, Ye. “Investigation of Skin and Skin Components Using Polarized Fluorescence and Polarized Reflectance Towards the Detection of Cutaneous Melanoma.” 2006. Web. 07 Mar 2021.

Vancouver:

Yuan Y. Investigation of Skin and Skin Components Using Polarized Fluorescence and Polarized Reflectance Towards the Detection of Cutaneous Melanoma. [Internet] [Doctoral dissertation]. University of Toledo; 2006. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1147284058.

Council of Science Editors:

Yuan Y. Investigation of Skin and Skin Components Using Polarized Fluorescence and Polarized Reflectance Towards the Detection of Cutaneous Melanoma. [Doctoral Dissertation]. University of Toledo; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1147284058


University of Queensland

13. Mowla, Alireza. Skin cancer detection using laser imaging.

Degree: School of Information Technology and Electrical Engineering, 2016, University of Queensland

Subjects/Keywords: Laser imaging; Skin cancer detection; Laser sensing; Dual-modality imaging; Threedimensional imaging; Monte Carlo modelling; Tissue phantom; 0903 Biomedical Engineering; 0906 Electrical and Electronic Engineering; 090606 Photonics and Electro-Optical Engineering (excl. Communications)

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APA (6th Edition):

Mowla, A. (2016). Skin cancer detection using laser imaging. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:415369

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):

Mowla, Alireza. “Skin cancer detection using laser imaging.” 2016. Thesis, University of Queensland. Accessed March 07, 2021. http://espace.library.uq.edu.au/view/UQ:415369.

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

MLA Handbook (7th Edition):

Mowla, Alireza. “Skin cancer detection using laser imaging.” 2016. Web. 07 Mar 2021.

Vancouver:

Mowla A. Skin cancer detection using laser imaging. [Internet] [Thesis]. University of Queensland; 2016. [cited 2021 Mar 07]. Available from: http://espace.library.uq.edu.au/view/UQ:415369.

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

Council of Science Editors:

Mowla A. Skin cancer detection using laser imaging. [Thesis]. University of Queensland; 2016. Available from: http://espace.library.uq.edu.au/view/UQ:415369

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

14. Korotkov, Konstantin. Automatic change detection in multiple pigmented skin lesions.

Degree: Departament d'Arquitectura i Tecnologia de Computadors, 2014, Universitat de Girona

 El melanoma maligne és el més rar i mortal de tots els càncers de pell, causant tres vegades més morts que el conjunt de totes… (more)

Subjects/Keywords: Melanoma; Pigmented skin lesions; Lesions pigmentades de la pell; Lesiones pigmentadas de la piel; Change detection; Detecció de canvis; Detección de cambios; Skin scanner; Escàner de pell; Escáner de piel; Mole mapping; Mapeig de pigues; Mapeo de lunares; Skin cancer; Càncer de pell; Cáncer de piel; 616; 62

…identification . . . . . . . . . . . . . . . . 64 2 Image foreground (skin) detection… …4.1.1.1 Foreground (skin) detection . . . . . . . . . . . . . . . . 72 4.1.1.2… …103 5.1.1 Skin detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 5.1.2… …Thus, one of the key indicators of malignant melanoma—the deadliest skin cancer—are… …epidemiology and treatment of this cancer, as well as some skin lesions known as its precursors, are… 

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

APA (6th Edition):

Korotkov, K. (2014). Automatic change detection in multiple pigmented skin lesions. (Thesis). Universitat de Girona. Retrieved from http://hdl.handle.net/10803/260162

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):

Korotkov, Konstantin. “Automatic change detection in multiple pigmented skin lesions.” 2014. Thesis, Universitat de Girona. Accessed March 07, 2021. http://hdl.handle.net/10803/260162.

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

MLA Handbook (7th Edition):

Korotkov, Konstantin. “Automatic change detection in multiple pigmented skin lesions.” 2014. Web. 07 Mar 2021.

Vancouver:

Korotkov K. Automatic change detection in multiple pigmented skin lesions. [Internet] [Thesis]. Universitat de Girona; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10803/260162.

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

Council of Science Editors:

Korotkov K. Automatic change detection in multiple pigmented skin lesions. [Thesis]. Universitat de Girona; 2014. Available from: http://hdl.handle.net/10803/260162

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

.