AI-powered precise diagnosis and automated nail disease detection using a fused CNN–CapsNet model

Abstract Nail disease classification is a crucial task in dermatology, aiding in the early diagnosis and treatment of various conditions. In this study, we leverage an open-access dataset from Kaggle containing 3835 images and apply data augmentation techniques, expanding the dataset to 11,505 image...

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Bibliografiset tiedot

Päätekijät:	Vatsala Anand, Ajay Khajuria, Mohammed Shuaib, Irfanullah Khan, Shadab Alam, Mehran Ullah
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Springer 2026-03-01
Sarja:	Discover Computing
Aiheet:	Nail disease Fused CNN–CapsNet Patient Biomedical Classification Capsule network
Linkit:	https://doi.org/10.1007/s10791-025-09895-6
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