Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence

Despite significant advancements in the automatic classification of skin lesions using artificial intelligence (AI) algorithms, skepticism among physicians persists. This reluctance is primarily due to the lack of transparency and explainability inherent in these models, which hinders their widespre...

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Bibliografski detalji

Glavni autori:	Loris Cino, Cosimo Distante, Alessandro Martella, Pier Luigi Mazzeo
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-01-01
Serija:	Journal of Imaging
Teme:	skin disease classification skin dataset test time augmentation explainable artificial intelligence explanatory task convolution neural network
Online pristup:	https://www.mdpi.com/2313-433X/11/1/15
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