2025
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective
ICML 2025spotlight
Ensuring fairness in medical image segmentation is critical due to biases in imbalanced clinical data acquisition caused by demographic attributes (e.g., age, sex, race) and clinical factors (e.g., disease severity). To address these challenges, we introduce Distribution-aware Mixture of Experts (dM…