Early stroke behavior detection based on improved video masked autoencoders for potential patients

Abstract Stroke is the prevalent cerebrovascular disease characterized by significant incidence and disability rates. To enhance the early perceive and detection of potential stroke patients, the early stroke behavior detection based on improved Video Masked Autoencoders (VideoMAE) for potential pat...

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Κύριοι συγγραφείς:	Meng Wang, Guanci Yang, Kexin Luo, Yang Li, Ling He
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Springer 2024-11-01
Σειρά:	Complex & Intelligent Systems
Θέματα:	Stroke behavior recognition Computer vision Spatiotemporal feature extraction Early stroke perception
Διαθέσιμο Online:	https://doi.org/10.1007/s40747-024-01610-0
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