Enhancing cardiovascular disease diagnosis through knowledge distillation and hybrid Transformer-CNN-SENet architecture.
Worldwide, cardiovascular diseases (CVDs) are the leading cause of mortality, making early detection a critical public health objective. The analysis of electrocardiograms (ECGs) is a fundamental tool for CVD diagnosis, and recent developments in deep learning have greatly enhanced its diagnostic accuracy. A 12-lead EC...