Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation

Episodic sampling from few-shot learning decouples class-balanced batch construction from per-pixel loss reweighting to improve rare-class exposure in imbalanced medical image segmentation.