2026-04-13T02:55:20Zhttps://recercat.cat/oai/request
oai:recercat.cat:2445/1576512025-12-04T19:12:11Zcom_2072_1057col_2072_478858col_2072_478917col_2072_478921
RECERCAT author Rey Barroso, Laura author Burgos Fernández, Francisco J. author Delpueyo, Xana author Ares, Miguel author Royo, Santiago author Malvehy, J. (Josep) author Puig i Sardà, Susana author Vilaseca, Meritxell 2020-04-27T12:35:16Z2020-04-27T12:35:16Z2018-05-052020-04-27T12:35:16Z With the goal of diagnosing skin cancer in an early and noninvasive way, an extended near infrared multispectral imaging system based on an InGaAs sensor with sensitivity from 995 nm to 1613 nm was built to evaluate deeper skin layers thanks to the higher penetration of photons at these wavelengths. The outcomes of this device were combined with those of a previously developed multispectral system that works in the visible and near infrared range (414 nm⁻995 nm). Both provide spectral and spatial information from skin lesions. A classification method to discriminate between melanomas and nevi was developed based on the analysis of first-order statistics descriptors, principal component analysis, and support vector machine tools. The system provided a sensitivity of 78.6% and a specificity of 84.6%, the latter one being improved with respect to that offered by silicon sensors. cc-by (c) Rey Barroso, Laura et al., 2018 http://creativecommons.org/licenses/by/3.0/es info:eu-repo/semantics/openAccess Càncer de pell Diagnòstic per la imatge Malalties de la pell Skin cancer Diagnostic imaging Skin diseases Visible and extended near-infrared multispectral imaging for skin cancer diagnosis info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion