Fig. 10: Cross-dataset generalization performance.
From: Geometric multi-instance learning for weakly supervised gastric cancer segmentation
Distribution of Dice scores when trained on TCGA-STAD and evaluated on GasHisSDB and ACDC-GastricDB. Geo-MIL demonstrates consistently higher accuracy and lower variance compared to TransMIL.
