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Title: Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance
Authors: Fabelo Gómez, Himar Antonio 
Carretero, Gregorio
Almeida Martín, Pablo Julio 
García Romero, Leví Aday 
Hernandez González, Javier Aday
Godtliebsen, Fred
Melian, Veronica
Martínez Vega, Beatriz 
Beltran, Patricia
Ortega Sarmiento, Samuel 
Mele Marrero, Margarita 
Marrero Callicó, Gustavo Iván 
Sarmiento Rodríguez, Roberto 
Castano, Irene
UNESCO Clasification: 3314 Tecnología médica
Issue Date: 2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE) 
Project: Identificación Hiperespectral de Tumores Cerebrales (Ithaca) 
Plataforma H2/Sw Distribuida Para El Procesamiento Inteligente de Información Sensorial Heterogenea en Aplicaciones de Supervisión de Grandes Espacios Naturales 
Conference: 34th Conference on Design of Circuits and Integrated Systems, DCIS 2019 
Abstract: This paper presents the development of a dermatological acquisition system based on hyperspectral (HS) imaging for the assistance in the diagnosis of pigmented skin lesions (PSLs). The developed system is able to capture HS images of 50×50 pixels and 125 spectral bands in the VNIR (Visual and Near Infrared) region between 450 and 950 nm, using a cold light halogen illumination device. The system is able to capture images of a size of 12×12 mm in less than 1 second. Employing this system, a preliminary database of 49 HS images of PSLs from 36 patients was generated. The data was labeled in four different classes and classified using a supervised machine learning method optimized by means of a genetic algorithm. The results obtained in these preliminary experiments demonstrate the potential of the developed system to perform a rapid and accurate assistance in the skin cancer diagnosis task during clinical routine practice
ISBN: 978-1-7281-5459-6
ISSN: 2471-6170
DOI: 10.1109/DCIS201949030.2019.8959869
Source: 2019 XXXIV Conference on Design of Circuits and Integrated Systems (DCIS 2019)
Appears in Collections:Actas de congresos
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