Jia-Qi Yang

Topology-aware unsupervised domain adaptation for curvilinear structure segmentation.

Unsupervised domain adaptation (UDA) enables segmentation models to generalize to unlabeled clinical domains. However, existing methods primarily address appearance-level discrepancies, while neglecting topological mismatches in connectivity, branching, and loop structure-characteristics of curvilinear anatomies. This...