An effective brain stroke diagnosis strategy based on feature extraction and hybrid classifier

Abstract Stroke is a leading cause of death and long-term disability worldwide, and early detection remains a significant clinical challenge. This study proposes an Effective Brain Stroke Diagnosis Strategy (EBDS). The hybrid deep learning framework integrates Vision Transformer (ViT) and VGG16 to e...

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Hlavní autoři:	Maha Samir Elsayed, Gehad Ahmed Saleh, Ahmed I. Saleh, Abeer Twakol Khalil
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-08-01
Edice:	Scientific Reports
Témata:	Brain stroke diagnosis Effective brain stroke diagnosis strategy (EBDS) VGG16 Vision transformer (ViT) Feature extraction Feature fusion
On-line přístup:	https://doi.org/10.1038/s41598-025-14444-8
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