Open access
Jul 2026
MDCL-UNet: A Multi-Domain Collaborative Learning Method for Medical Image Segmentation
MDCL-UNet is proposed, a supervised multi-domain collaborative learning framework based on domain feature disentanglement that achieves consistently higher Dice scores and lower HD95 distances than single-dataset baselines and existing cross-dataset collaborative learning methods.
Xu Han, Chaobin Wang, Junni Huang et al.
· Cognitive Computation · 0 citations