Visible and extended near-infrared multispectral imaging for skin cancer diagnosis
| Autor: | Meritxell Vilaseca, Santiago Royo, Josep Malvehy, Miguel Ares, Laura Rey-Barroso, Francisco J. Burgos-Fernández, Xana Delpueyo, Susana Puig |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Òptica i Optometria, Universitat Politècnica de Catalunya. GREO - Grup de Recerca en Enginyeria Òptica |
| Předmět: |
Skin Neoplasms
Light Infrared Multispectral image 01 natural sciences Biochemistry Analytical Chemistry Multispectral imaging 030207 dermatology & venereal diseases 0302 clinical medicine multispectral imaging Image Processing Computer-Assisted Skin cancer Instrumentation Melanoma skin cancer Imatges infraroges Optical Imaging Detectors Atomic and Molecular Physics and Optics Skin diseases Diagnòstic per la imatge infrared Principal component analysis Diagnostic imaging Skin lesion Algorithms Infrared detectors Materials science Infrared Rays Article 010309 optics InGaAs camera 03 medical and health sciences Optics Skin--Cancer 0103 physical sciences melanoma medicine Humans Electrical and Electronic Engineering Càncer de pell business.industry Near-infrared spectroscopy Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo [Àrees temàtiques de la UPC] medicine.disease Support vector machine Ciències de la salut::Medicina::Dermatologia [Àrees temàtiques de la UPC] Malalties de la pell Pell -- Càncer Classification methods business Detectors de raigs infraroigs |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya instname Dipòsit Digital de la UB Universidad de Barcelona Sensors (Basel, Switzerland) UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Sensors; Volume 18; Issue 5; Pages: 1441 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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