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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Autori principali:	Meng Wang, Guanci Yang, Kexin Luo, Yang Li, Ling He
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2024-11-01
Serie:	Complex & Intelligent Systems
Soggetti:	Stroke behavior recognition Computer vision Spatiotemporal feature extraction Early stroke perception
Accesso online:	https://doi.org/10.1007/s40747-024-01610-0
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