AINeutralarXiv – CS AI · 5h ago6/10
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MSAIC-Net: A Multi-Scale Attention and Imbalance-Aware Contrastive Network for ECG-Based Myocardial Substrate Abnormality Detection
Researchers present MSAIC-Net, a deep learning framework that improves ECG-based detection of myocardial substrate abnormalities like scarring and heart attacks. The model combines multi-scale attention mechanisms with contrastive learning to address class imbalance and interpretability challenges, demonstrating strong performance on both institutional and public datasets.