Segmentation-synthesis co-training for semi-supervised domain generalizable medical image segmentation
Semi-supervised domain generalization (SSDG) faces two fundamental challenges that hinder model generalizability: label scarcity and domain shifts. Recent studies tackle this challenging task by building on a scheme that integrates the strong-weak pseudo supervision paradigm with specific data augmentation strategies....