Stabilizing Extreme Few-Shot ECG Classification via Self-Supervised Contrastive Pretraining
{{output}}
In clinical electrocardiogram (ECG) analysis, high-quality annotations are expensive and difficult to scale, leaving many tasks in an extreme few-shot learning regime. We formulate a single-label Top-5 rhythm classification task on PTB-XL and strictly limit su... ...
