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Study of skin cancer lesions through multispectral and 3D techniques

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10.1117/12.2526970
 
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Rey Barroso, LauraMés informacióMés informacióMés informació
Burgos Fernández, Francisco JavierMés informacióMés informacióMés informació
Ares Rodríguez, MiguelMés informacióMés informació
Royo Royo, SantiagoMés informacióMés informacióMés informació
Delpueyo, Xana
Puig, Susana
Malvehy Guilera, Josep
Pellacani, Giovanni
Vilaseca Ricart, MeritxellMés informacióMés informacióMés informació
Document typeConference report
Defense date2019
PublisherInternational Society for Photo-Optical Instrumentation Engineers (SPIE)
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
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.
CitationRey, L. [et al.]. Study of skin cancer lesions through multispectral and 3D techniques. A: European Conferences on Biomedical Optics. "Proceedings of SPIE 11073: Clinical and Preclinical Optical Diagnostics II". Washington: International Society for Photo-Optical Instrumentation Engineers (SPIE), 2019, p. 110730B-1-110730B-5. 
URIhttp://hdl.handle.net/2117/168364
DOI10.1117/12.2526970
Publisher versionhttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/11073/110730B/Study-of-skin-cancer-lesions-through-multispectral-and-3D-techniques/10.1117/12.2526970.short
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  • CD6 - Centre de Desenvolupament de Sensors, Instrumentació i Sistemes - Ponències/Comunicacions de congressos [11]
  • GREO - Grup de Recerca en Enginyeria Òptica - Ponències/Comunicacions de congressos [90]
  • Departament d'Òptica i Optometria - Ponències/Comunicacions de congressos [149]
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