MCAF_TabNet: A Multiscale Convolutional–Attention Fusion Network With TabNet Classifier for Interpretable Heart Sound Analysis

Accurate interpretation of heart sounds remains a fundamental yet challenging task in the early diagnosis of cardiovascular diseases. Traditional auscultation relies heavily on clinical expertise, whereas automated approaches often struggle with signal variability, background noise, and overlapping...

Descripció completa

Dades bibliogràfiques

Autors principals:	Rohit Ravi, P. Madhavan
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Heart sound classification phonocardiogram (PCG) analysis multiscale convolutional neural network channel attention mechanism feature fusion TabNet classifier
Accés en línia:	https://ieeexplore.ieee.org/document/11400539/
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!