Skin disease diagnostics through federated transfer learning on heterogeneous data

Abstract Skin diseases frequently cause mental and physical distress and are major global health concern. Because early detection is crucial to successful treatment, accurate diagnosis is challenge for dermatologists as well. Diagnostic accuracy could be significantly enhanced using methods like mac...

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Autors principals:	Shikha Sharma, Ruchi Mittal, Nitin Goyal, S. B. Goyal, Chaman Verma
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-01-01
Col·lecció:	Scientific Reports
Matèries:	Skin disease Federated learning Transfer learning Dense neural network Feature extraction Classification
Accés en línia:	https://doi.org/10.1038/s41598-025-31730-7
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