AI RESEARCH
Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation
arXiv CS.LG
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ArXi:2512.01510v3 Announce Type: replace-cross We tackle the challenging problem of single-source domain generalization (DG) for medical image segmentation, where we train a network on one domain (e.g., CT) and directly apply it to a different domain (e.g., MR) without adapting the model and without requiring images or annotations from the new domain during