Study of skin cancer lesions through multispectral and 3D techniques
The effective and non-invasive diagnosis of skin cancer is a hot topic in biophotonics since the current gold standard, biopsy followed by histological examination, is a slow and costly procedure for the healthcare system. Therefore, authors have put their efforts in characterizing skin cancer quant...
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creator | Rey-Barroso, Laura Burgos-Fernández, Francisco J Ares, Miguel Royo, Santiago Delpueyo, Xana Puig, Susana Malvehy, Josep Pellacani, Giovanni Vilaseca, Meritxell |
description | The effective and non-invasive diagnosis of skin cancer is a hot topic in biophotonics since the current gold standard, biopsy followed by histological examination, is a slow and costly procedure for the healthcare system. Therefore, authors have put their efforts in characterizing skin cancer quantitatively through optical and photonic techniques such as 3D topography and multispectral imaging. Skin relief is an important biophysical feature that can be difficult to appreciate by touch, but can be precisely characterized with 3D imaging techniques, such as fringe projection. Color and spectral features given by skin chromophores, which are routinely analyzed by the naked eye and through dermoscopy, can also be quantified by means of multispectral imaging systems. In this study, the outcomes of these two imaging modalities were combined in a machine learning process to enhance classification of melanomas and nevi obtained from the two systems when operating isolately. The results suggest that the combination of 3D and multispectral data is relevant for the medical diagnosis of skin cancer. |
doi_str_mv | 10.1117/12.2526970 |
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Quincy</contributor><creatorcontrib>Rey-Barroso, Laura ; Burgos-Fernández, Francisco J ; Ares, Miguel ; Royo, Santiago ; Delpueyo, Xana ; Puig, Susana ; Malvehy, Josep ; Pellacani, Giovanni ; Vilaseca, Meritxell ; van Leeuwen, Ton G ; Brown, J. Quincy</creatorcontrib><description>The effective and non-invasive diagnosis of skin cancer is a hot topic in biophotonics since the current gold standard, biopsy followed by histological examination, is a slow and costly procedure for the healthcare system. Therefore, authors have put their efforts in characterizing skin cancer quantitatively through optical and photonic techniques such as 3D topography and multispectral imaging. Skin relief is an important biophysical feature that can be difficult to appreciate by touch, but can be precisely characterized with 3D imaging techniques, such as fringe projection. Color and spectral features given by skin chromophores, which are routinely analyzed by the naked eye and through dermoscopy, can also be quantified by means of multispectral imaging systems. In this study, the outcomes of these two imaging modalities were combined in a machine learning process to enhance classification of melanomas and nevi obtained from the two systems when operating isolately. The results suggest that the combination of 3D and multispectral data is relevant for the medical diagnosis of skin cancer.</description><identifier>ISSN: 1605-7422</identifier><identifier>ISBN: 9781510628397</identifier><identifier>ISBN: 1510628398</identifier><identifier>DOI: 10.1117/12.2526970</identifier><language>eng</language><publisher>SPIE</publisher><subject>Aprenentatge automatic ; Cancer ; Ciències de la salut ; Càncer ; Dermatologia ; Diagnosis ; Diagnòstic ; Enginyeria de la telecomunicació ; Fringe projection ; Machine learning ; Medicina ; Multispectral imaging ; Pell ; Skin ; Skin cancer ; Surface morphology ; Telecomunicació òptica ; Àrees temàtiques de la UPC</subject><creationdate>2019</creationdate><rights>COPYRIGHT SPIE. 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Quincy</contributor><creatorcontrib>Rey-Barroso, Laura</creatorcontrib><creatorcontrib>Burgos-Fernández, Francisco J</creatorcontrib><creatorcontrib>Ares, Miguel</creatorcontrib><creatorcontrib>Royo, Santiago</creatorcontrib><creatorcontrib>Delpueyo, Xana</creatorcontrib><creatorcontrib>Puig, Susana</creatorcontrib><creatorcontrib>Malvehy, Josep</creatorcontrib><creatorcontrib>Pellacani, Giovanni</creatorcontrib><creatorcontrib>Vilaseca, Meritxell</creatorcontrib><title>Study of skin cancer lesions through multispectral and 3D techniques</title><description>The effective and non-invasive diagnosis of skin cancer is a hot topic in biophotonics since the current gold standard, biopsy followed by histological examination, is a slow and costly procedure for the healthcare system. Therefore, authors have put their efforts in characterizing skin cancer quantitatively through optical and photonic techniques such as 3D topography and multispectral imaging. Skin relief is an important biophysical feature that can be difficult to appreciate by touch, but can be precisely characterized with 3D imaging techniques, such as fringe projection. Color and spectral features given by skin chromophores, which are routinely analyzed by the naked eye and through dermoscopy, can also be quantified by means of multispectral imaging systems. In this study, the outcomes of these two imaging modalities were combined in a machine learning process to enhance classification of melanomas and nevi obtained from the two systems when operating isolately. The results suggest that the combination of 3D and multispectral data is relevant for the medical diagnosis of skin cancer.</description><subject>Aprenentatge automatic</subject><subject>Cancer</subject><subject>Ciències de la salut</subject><subject>Càncer</subject><subject>Dermatologia</subject><subject>Diagnosis</subject><subject>Diagnòstic</subject><subject>Enginyeria de la telecomunicació</subject><subject>Fringe projection</subject><subject>Machine learning</subject><subject>Medicina</subject><subject>Multispectral imaging</subject><subject>Pell</subject><subject>Skin</subject><subject>Skin cancer</subject><subject>Surface morphology</subject><subject>Telecomunicació òptica</subject><subject>Àrees temàtiques de la UPC</subject><issn>1605-7422</issn><isbn>9781510628397</isbn><isbn>1510628398</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2019</creationdate><recordtype>conference_proceeding</recordtype><sourceid>XX2</sourceid><recordid>eNp1UMFKAzEQDahgqb34BTkL1UzSbDbHaq0KBQvVi5eQTrJtcN1dN1lEv96tLYgHD8Mwb957MzxCzoFdAoC6An7JJc-0YkdkpFUOEljGc6HVMRlAxuRYTTg_JaMYw5qJXGrFmRiQ2Sp17pPWBY2voaJoK_QtLX0MdRVp2rZ1t9nSt65MITYeU2tLaitHxYwmj9sqvHc-npGTwpbRjw59SJ7nt0839-PF493DzXQxxv5gGnuWMZQCnZZWa60mMCm4deAEioLlPSSFzZ3jeo0ZV1LDWroM0aNlDgolhgT2vhg7NK3vX0WbTG3D77ArzhQ3IoNMTnrNxV4Tm-BN09bovQvVJhpgZhedAW4O0fXkl3_Iy9XDanYHwJQwRVtXyXyEtC1Cn5T5Cs2f_bRNAUu_nM3ND8CuTeMK8Q11dX6d</recordid><startdate>20190719</startdate><enddate>20190719</enddate><creator>Rey-Barroso, Laura</creator><creator>Burgos-Fernández, Francisco J</creator><creator>Ares, Miguel</creator><creator>Royo, Santiago</creator><creator>Delpueyo, Xana</creator><creator>Puig, Susana</creator><creator>Malvehy, Josep</creator><creator>Pellacani, Giovanni</creator><creator>Vilaseca, Meritxell</creator><general>SPIE</general><general>International Society for Photo-Optical Instrumentation Engineers (SPIE)</general><scope>XX2</scope></search><sort><creationdate>20190719</creationdate><title>Study of skin cancer lesions through multispectral and 3D techniques</title><author>Rey-Barroso, Laura ; Burgos-Fernández, Francisco J ; Ares, Miguel ; Royo, Santiago ; Delpueyo, Xana ; Puig, Susana ; Malvehy, Josep ; Pellacani, Giovanni ; Vilaseca, Meritxell</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-e060c53cd95a9997414f2ad1d3c3f0899953a8dd29bc627591b5d6cceca0d1f73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aprenentatge automatic</topic><topic>Cancer</topic><topic>Ciències de la salut</topic><topic>Càncer</topic><topic>Dermatologia</topic><topic>Diagnosis</topic><topic>Diagnòstic</topic><topic>Enginyeria de la telecomunicació</topic><topic>Fringe projection</topic><topic>Machine learning</topic><topic>Medicina</topic><topic>Multispectral imaging</topic><topic>Pell</topic><topic>Skin</topic><topic>Skin cancer</topic><topic>Surface morphology</topic><topic>Telecomunicació òptica</topic><topic>Àrees temàtiques de la UPC</topic><toplevel>online_resources</toplevel><creatorcontrib>Rey-Barroso, Laura</creatorcontrib><creatorcontrib>Burgos-Fernández, Francisco J</creatorcontrib><creatorcontrib>Ares, Miguel</creatorcontrib><creatorcontrib>Royo, Santiago</creatorcontrib><creatorcontrib>Delpueyo, Xana</creatorcontrib><creatorcontrib>Puig, Susana</creatorcontrib><creatorcontrib>Malvehy, Josep</creatorcontrib><creatorcontrib>Pellacani, Giovanni</creatorcontrib><creatorcontrib>Vilaseca, Meritxell</creatorcontrib><collection>Recercat</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rey-Barroso, Laura</au><au>Burgos-Fernández, Francisco J</au><au>Ares, Miguel</au><au>Royo, Santiago</au><au>Delpueyo, Xana</au><au>Puig, Susana</au><au>Malvehy, Josep</au><au>Pellacani, Giovanni</au><au>Vilaseca, Meritxell</au><au>van Leeuwen, Ton G</au><au>Brown, J. Quincy</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Study of skin cancer lesions through multispectral and 3D techniques</atitle><date>2019-07-19</date><risdate>2019</risdate><volume>11073</volume><spage>110730B</spage><epage>110730B-5</epage><pages>110730B-110730B-5</pages><issn>1605-7422</issn><isbn>9781510628397</isbn><isbn>1510628398</isbn><abstract>The effective and non-invasive diagnosis of skin cancer is a hot topic in biophotonics since the current gold standard, biopsy followed by histological examination, is a slow and costly procedure for the healthcare system. Therefore, authors have put their efforts in characterizing skin cancer quantitatively through optical and photonic techniques such as 3D topography and multispectral imaging. Skin relief is an important biophysical feature that can be difficult to appreciate by touch, but can be precisely characterized with 3D imaging techniques, such as fringe projection. Color and spectral features given by skin chromophores, which are routinely analyzed by the naked eye and through dermoscopy, can also be quantified by means of multispectral imaging systems. In this study, the outcomes of these two imaging modalities were combined in a machine learning process to enhance classification of melanomas and nevi obtained from the two systems when operating isolately. The results suggest that the combination of 3D and multispectral data is relevant for the medical diagnosis of skin cancer.</abstract><pub>SPIE</pub><doi>10.1117/12.2526970</doi><oa>free_for_read</oa></addata></record> |
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subjects | Aprenentatge automatic Cancer Ciències de la salut Càncer Dermatologia Diagnosis Diagnòstic Enginyeria de la telecomunicació Fringe projection Machine learning Medicina Multispectral imaging Pell Skin Skin cancer Surface morphology Telecomunicació òptica Àrees temàtiques de la UPC |
title | Study of skin cancer lesions through multispectral and 3D techniques |
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