Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images

Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images

Cancer originates from the uncontrolled growth of healthy cells into a mass. Chromophores, such as hemoglobin and melanin, characterize skin spectral properties, allowing the classification of lesions into different etiologies. Hyperspectral imaging systems gather skin-reflected and transmitted ligh...

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Bibliographic Details
Main Authors: Marco La Salvia, Emanuele Torti, Raquel Leon, Himar Fabelo, Samuel Ortega, Francisco Balea-Fernandez, Beatriz Martinez-Vega, Irene Castaño, Pablo Almeida, Gregorio Carretero, Javier A. Hernandez, Gustavo M. Callico, Francesco Leporati
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
skin cancer
hyperspectral imaging
deep learning
disease diagnosis
high-performance computing
Online Access:https://www.mdpi.com/1424-8220/22/19/7139

Internet

https://www.mdpi.com/1424-8220/22/19/7139

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