Attention-Fusion-Based Two-Stream Vision Transformer for Heart Sound Classification

Vision Transformers (ViTs), inspired by their success in natural language processing, have recently gained attention for heart sound classification (HSC). However, most of the existing studies on HSC rely on single-stream architectures, overlooking the advantages of multi-resolution features. While...

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Autores principales:	Kalpeshkumar Ranipa, Wei-Ping Zhu, M. N. S. Swamy
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-09-01
Colección:	Bioengineering
Materias:	attention fusion vision transformer deep learning heart sound classification
Acceso en línea:	https://www.mdpi.com/2306-5354/12/10/1033
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