Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation

ArXi:2508.08660v3 Announce Type: replace Most prior unsupervised domain adaptation approaches for medical image segmentation are narrowly tailored to either the source-accessible setting, where adaptation is guided by source-target alignment, or the source-free setting, which typically resorts to implicit adaptation mechanisms such as pseudo-labeling and network distillation.