Causality-inspired Single-source Domain Generalization for Medical Image
Segmentation
Causality-inspired Single-source Domain Generalization for Medical Image
Segmentation
Deep learning models usually suffer from domain shift issues, where models trained on one source domain do not generalize well to other unseen domains. In this work, we investigate the single-source domain generalization problem: training a deep network that is robust to unseen domains, under the condition that training data …