Enhanced early skin cancer detection through fusion of vision transformer and CNN features using hybrid attention of EViT-Dens169

Abstract Early diagnosis of skin cancer remains a pressing challenge in dermatological and oncological practice. AI-driven learning models have emerged as powerful tools for automating the classification of skin lesions by using dermoscopic images. This study introduces a novel hybrid deep learning...

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Principais autores:	Hanan T. Halawani, Ebrahim Mohammed Senan, Yousef Asiri, Ibrahim Abunadi, Aisha M. Mashraqi, Eman A. Alshari
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-10-01
coleção:	Scientific Reports
Assuntos:	Deep learning Enhanced ViT-Encoder Enhanced DenseNet169 Skin cancer Hybrid model
Acesso em linha:	https://doi.org/10.1038/s41598-025-18570-1
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