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...

Полное описание

Библиографические подробности

Главные авторы:	Vatsala Anand, Ajay Khajuria, Mohammed Shuaib, Irfanullah Khan, Shadab Alam, Mehran Ullah
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Springer 2026-03-01
Серии:	Discover Computing
Предметы:	Nail disease Fused CNN–CapsNet Patient Biomedical Classification Capsule network
Online-ссылка:	https://doi.org/10.1007/s10791-025-09895-6
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