The effect of hair removal and filtering on melanoma detection: a comparative deep learning study with AlexNet CNN

The effect of hair removal and filtering on melanoma detection: a comparative deep learning study with AlexNet CNN

Melanoma is the most aggressive and prevalent form of skin cancer globally, with a higher incidence in men and individuals with fair skin. Early detection of melanoma is essential for the successful treatment and prevention of metastasis. In this context, deep learning methods, distinguished by thei...

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Bibliographic Details
Main Authors: Angélica Quishpe-Usca, Stefany Cuenca-Dominguez, Araceli Arias-Viñansaca, Karen Bosmediano-Angos, Fernando Villalba-Meneses, Lenin Ramírez-Cando, Andrés Tirado-Espín, Carolina Cadena-Morejón, Diego Almeida-Galárraga, Cesar Guevara
Format: Article
Language:English
Published: PeerJ Inc. 2024-04-01
Series:PeerJ Computer Science
Subjects:
Melanoma
Cancer
Deep-learning
Classification
Neural network
Dermoscopic
Online Access:https://peerj.com/articles/cs-1953.pdf

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https://peerj.com/articles/cs-1953.pdf

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