Medical Image Classification on MIMIC-CXR (test) (Fairness/Calibration) benchmark leaderboard · SOTA2 Research

Medical Image Classification on MIMIC-CXR (test) (Fairness/Calibration)

0.153EOdds (Age)Worst-Group Equalized Odds Regularization

Evaluation Results

Method
Worst-Group Equalized Odds Regularization2026.05	0.153	0.174	0.054	0.127	0.897	0.885	0.966	0.916	-0.007
JTT2026.05	0.192	0.22	0.055	0.156	0.88	0.86	0.963	0.901	-0.015
GDRO2026.05	0.201	0.226	0.062	0.163	0.884	0.852	0.954	0.896	-0.008
FaMI2026.05	0.208	0.222	0.066	0.165	0.866	0.857	0.956	0.893	-0.022
Adv2026.05	0.216	0.203	0.044	0.154	0.864	0.871	0.961	0.899	-0.01
FairBatch2026.05	0.239	0.254	0.093	0.195	0.824	0.821	0.956	0.867	-0.009
Baseline2026.05	0.335	0.316	0.112	0.254	0.792	0.817	0.937	0.849	—