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

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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Bibliographic Details
Main Authors: Maha Samir Elsayed, Gehad Ahmed Saleh, Ahmed I. Saleh, Abeer Twakol Khalil
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Brain stroke diagnosis
Effective brain stroke diagnosis strategy (EBDS)
VGG16
Vision transformer (ViT)
Feature extraction
Feature fusion
Online Access:https://doi.org/10.1038/s41598-025-14444-8
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https://doi.org/10.1038/s41598-025-14444-8

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