Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispectral Images of Skin Lesions for the Improvement of Skin Cancer Diagnosis

Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispectral Images of Skin Lesions for the Improvement of Skin Cancer Diagnosis

An estimated 60,000 people die annually from skin cancer, predominantly melanoma. The diagnosis of skin lesions primarily relies on visual inspection, but around half of lesions pose diagnostic challenges, often necessitating a biopsy. Non-invasive detection methods like Computer-Aided Diagnosis (CA...

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Bibliographic Details
Main Authors: Laura Rey-Barroso, Meritxell Vilaseca, Santiago Royo, Fernando Díaz-Doutón, Ilze Lihacova, Andrey Bondarenko, Francisco J. Burgos-Fernández
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Diagnostics
Subjects:
skin cancer
multispectral imaging
deep learning
non-invasive diagnosis
melanoma
convolutional neural network
Online Access:https://www.mdpi.com/2075-4418/15/3/355

Internet

https://www.mdpi.com/2075-4418/15/3/355

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