GlowSkinFit: machine learning and CNN-based approaches for accurate skin disease detection

Abstract The diagnosis of skin diseases has been a focus of great interest because of the increased rates of skin disorders and the necessity of prompt and convenient diagnosis of dermatological disorders. In this paper, we introduce a machine-learning model of the multi-class classification of nine...

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Autores principales:	Anushree Dahiya, Sambhav Chordia, Satyanshu Yadav, Shardul Kacheria, Sudhanshu Suhas Gonge, Deepak Parashar, Nilesh Bahadure
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Springer 2026-02-01
Colección:	Discover Applied Sciences
Materias:	Machine learning algorithms Deep Learning techniques Convolutional neural networks (CNNs) Confusion matrix Validation accuracy
Acceso en línea:	https://doi.org/10.1007/s42452-026-08481-9
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