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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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Principais autores: Kalpeshkumar Ranipa, Wei-Ping Zhu, M. N. S. Swamy
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2025-09-01
סדרה:Bioengineering
נושאים:
attention fusion
vision transformer
deep learning
heart sound classification
גישה מקוונת:https://www.mdpi.com/2306-5354/12/10/1033
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