WSI Classification on BRACS (test)
0.8861Mean AUCMExD
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| MExDPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.8861 | — | — | — | 0.801 | 0.8101 | — | — | |
| MExDPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.8808 | — | — | — | 0.7517 | 0.7613 | — | — | |
| TransMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.8715 | — | — | — | 0.7404 | 0.7482 | — | — | |
| DSMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.867 | — | — | — | 0.6973 | 0.7282 | — | — | |
| IBMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.8657 | — | — | — | 0.7474 | 0.7553 | — | — | |
| MHIM-MILPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.862 | — | — | — | 0.6276 | 0.7128 | — | — | |
| IBMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.8584 | — | — | — | 0.7093 | 0.7294 | — | — | |
| EnsembleMIL Architecture=TransMIL, M=10, Ep=10002025.06 | 0.858 | 0.829 | 0.873 | 1.2 | — | — | — | — | |
| ACMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.857 | — | — | — | 0.7288 | 0.7435 | — | — | |
| MambaMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.8562 | — | — | — | 0.6163 | 0.6988 | — | — | |
| Soup3MIL Architecture=TransMIL, M=10, K=5, Ep=1502025.06 | 0.854 | 0.835 | 0.882 | 1.5 | — | — | — | — | |
| TransMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.8518 | — | — | — | 0.7017 | 0.72 | — | — | |
| Soup3MIL Architecture=MaxMIL, M=10, K=5, Ep=1502025.06 | 0.85 | 0.81 | 0.869 | 1.7 | — | — | — | — | |
| Ties3MIL Architecture=TransMIL, M=10, K=5, Ep=1502025.06 | 0.85 | 0.821 | 0.875 | 1.5 | — | — | — | — | |
| Ties3MIL Architecture=MaxMIL, M=10, K=5, Ep=1502025.06 | 0.848 | 0.81 | 0.869 | 2 | — | — | — | — | |
| MHIM-MILPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.8479 | — | — | — | 0.7241 | 0.7326 | — | — | |
| Ties3MIL Architecture=ABMIL, M=10, K=5, Ep=1502025.06 | 0.847 | 0.826 | 0.874 | 1.4 | — | — | — | — | |
| ACMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.8464 | — | — | — | 0.7125 | 0.7459 | — | — | |
| LR tunedMIL Architecture=TransMIL, M=6, Ep=6002025.06 | 0.846 | 0.786 | 0.868 | 2.2 | — | — | — | — | |
| Soup3MIL Architecture=ABMIL, M=10, K=5, Ep=1502025.06 | 0.846 | 0.813 | 0.866 | 1.5 | — | — | — | — | |
| WiKGPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.8419 | — | — | — | 0.69 | 0.7106 | — | — | |
| CLAM-SBPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.8404 | — | — | — | 0.6837 | 0.6965 | — | — | |
| DTFD-MILPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.8357 | — | — | — | 0.6898 | 0.72 | — | — | |
| Best on VALMIL Architecture=TransMIL, M=10, Ep=10002025.06 | 0.835 | 0.8 | 0.866 | 1.8 | — | — | — | — | |
| MambaMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.8339 | — | — | — | 0.6837 | 0.7059 | — | — | |
| CLAM-SBPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.8322 | — | — | — | 0.6967 | 0.7176 | — | — | |
| DTFD-MILPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.8322 | — | — | — | 0.4993 | 0.6235 | — | — | |
| BaselineMIL Architecture=TransMIL, M=1, Ep=1002025.06 | 0.831 | 0.797 | 0.864 | 2 | — | — | — | — | |
| WiKGPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.8252 | — | — | — | 0.6399 | 0.6683 | — | — | |
| EnsembleMIL Architecture=ABMIL, M=10, Ep=10002025.06 | 0.811 | 0.785 | 0.832 | 1.6 | — | — | — | — | |
| LR tunedMIL Architecture=ABMIL, M=6, Ep=6002025.06 | 0.81 | 0.738 | 0.872 | 4.4 | — | — | — | — | |
| CLAM-MBPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.8078 | — | — | — | 0.6761 | 0.6918 | — | — | |
| ABMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 0.8044 | — | — | — | 0.6254 | 0.6829 | — | — | |
| EnsembleMIL Architecture=CLAM, M=10, Ep=10002025.06 | 0.802 | 0.779 | 0.82 | 1.3 | — | — | — | — | |
| DSMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.8007 | — | — | — | 0.5401 | 0.6377 | — | — | |
| Soup3MIL Architecture=DSMIL, M=10, K=5, Ep=1502025.06 | 0.8 | 0.761 | 0.861 | 2.8 | — | — | — | — | |
| CLAM-MBPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.7982 | — | — | — | 0.7146 | 0.7365 | — | — | |
| Best on VALMIL Architecture=ABMIL, M=10, Ep=10002025.06 | 0.798 | 0.764 | 0.852 | 2.5 | — | — | — | — | |
| BaselineMIL Architecture=CLAM, M=1, Ep=1002025.06 | 0.796 | 0.712 | 0.835 | 3.1 | — | — | — | — | |
| Soup3MIL Architecture=CLAM, M=10, K=5, Ep=1502025.06 | 0.795 | 0.733 | 0.835 | 2.8 | — | — | — | — | |
| LR tunedMIL Architecture=CLAM, M=6, Ep=6002025.06 | 0.793 | 0.704 | 0.836 | 4.1 | — | — | — | — | |
| Ties3MIL Architecture=CLAM, M=10, K=5, Ep=1502025.06 | 0.791 | 0.766 | 0.815 | 1.6 | — | — | — | — | |
| Best on VALMIL Architecture=MaxMIL, M=10, Ep=10002025.06 | 0.791 | 0.707 | 0.866 | 5.2 | — | — | — | — | |
| LR tunedMIL Architecture=DSMIL, M=6, Ep=6002025.06 | 0.787 | 0.673 | 0.836 | 4.2 | — | — | — | — | |
| Ties3MIL Architecture=DSMIL, M=10, K=5, Ep=1502025.06 | 0.787 | 0.749 | 0.814 | 1.8 | — | — | — | — | |
| ABMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 0.7843 | — | — | — | 0.5239 | 0.6777 | — | — | |
| BaselineMIL Architecture=ABMIL, M=1, Ep=1002025.06 | 0.784 | 0.735 | 0.833 | 3.1 | — | — | — | — | |
| Best on VALMIL Architecture=CLAM, M=10, Ep=10002025.06 | 0.782 | 0.74 | 0.821 | 2.7 | — | — | — | — | |
| EnsembleMIL Architecture=DSMIL, M=10, Ep=10002025.06 | 0.774 | 0.716 | 0.849 | 3.7 | — | — | — | — | |
| LR tunedMIL Architecture=MaxMIL, M=6, Ep=6002025.06 | 0.772 | 0.649 | 0.865 | 5.5 | — | — | — | — | |
| EnsembleMIL Architecture=MaxMIL, M=10, Ep=10002025.06 | 0.764 | 0.656 | 0.841 | 5.8 | — | — | — | — | |
| Best on VALMIL Architecture=DSMIL, M=10, Ep=10002025.06 | 0.762 | 0.713 | 0.808 | 2.7 | — | — | — | — | |
| BaselineMIL Architecture=DSMIL, M=1, Ep=1002025.06 | 0.738 | 0.661 | 0.813 | 4.7 | — | — | — | — | |
| BaselineMIL Architecture=MaxMIL, M=1, Ep=1002025.06 | 0.587 | 0.508 | 0.743 | 7.3 | — | — | — | — | |
| ABMILFeature Extractor=UNI [7]2025.12 | — | — | — | — | — | 55.58 | 84 | — | |
| Agent2026.06 | — | — | — | — | 31.4 | 44.83 | 81.33 | — | |
| Agent+Expert2026.06 | — | — | — | — | 33.84 | 48.28 | 83.64 | — | |
| CLAMFeature Extractor=UNI [7]2025.12 | — | — | — | — | — | 55.02 | 84.1 | — | |
| DeltaMILFeature Extractor=UNI [7]2025.12 | — | — | — | — | — | 60.6 | 87.01 | — | |
| DRAShot=2, Backbone=CONCH2026.01 | — | — | — | — | 75.06 | 60.08 | 61.73 | 71.8 | |
| DRAShot=4, Backbone=CONCH2026.01 | — | — | — | — | 75.06 | 60.08 | 67.84 | 76.71 | |
| DRAShot=8, Backbone=CONCH2026.01 | — | — | — | — | 78.58 | 70.06 | 77.87 | 83.72 | |
| DRAShot=16, Backbone=CONCH2026.01 | — | — | — | — | 80.5 | 72.87 | 81.1 | 86.48 | |
| DSMILFeature Extractor=UNI [7]2025.12 | — | — | — | — | — | 54.07 | 83.94 | — | |
| Expert2026.06 | — | — | — | — | 43.05 | 54.02 | 41.8 | — | |
| HAAFShot=2, Backbone=CONCH2026.01 | — | — | — | — | 82.71 | 77.28 | 85.31 | 89.55 | |
| HAAFShot=4, Backbone=CONCH2026.01 | — | — | — | — | 84.22 | 79.14 | 83.53 | 86.08 | |
| HAAFShot=8, Backbone=CONCH2026.01 | — | — | — | — | 80.97 | 75.53 | 82.19 | 86.84 | |
| HAAFShot=16, Backbone=CONCH2026.01 | — | — | — | — | 82.89 | 78.01 | 86.1 | 89.19 | |
| MadCLIPShot=2, Backbone=CONCH2026.01 | — | — | — | — | 82.55 | 77.06 | 82.17 | 84 | |
| MadCLIPShot=4, Backbone=CONCH2026.01 | — | — | — | — | 82.7 | 76.89 | 82.32 | 84.19 | |
| MadCLIPShot=8, Backbone=CONCH2026.01 | — | — | — | — | 85.81 | 80.8 | 85.01 | 87.83 | |
| MadCLIPShot=16, Backbone=CONCH2026.01 | — | — | — | — | 84.4 | 79.3 | 85.45 | 88.59 | |
| Mamba2MILFeature Extractor=UNI [7]2025.12 | — | — | — | — | — | 55.95 | 83.6 | — | |
| MambaMILFeature Extractor=UNI [7]2025.12 | — | — | — | — | — | 54.64 | 82.1 | — | |
| Max-PoolingFeature Extractor=UNI [7]2025.12 | — | — | — | — | — | 53.71 | 80.67 | — | |
| Mean-PoolingFeature Extractor=UNI [7]2025.12 | — | — | — | — | — | 51.3 | 81.17 | — | |
| MVFAShot=2, Backbone=CONCH2026.01 | — | — | — | — | 82.92 | 77.06 | 82.75 | 85.59 | |
| MVFAShot=4, Backbone=CONCH2026.01 | — | — | — | — | 81.41 | 74.54 | 81.04 | 84.81 | |
| MVFAShot=8, Backbone=CONCH2026.01 | — | — | — | — | 80.7 | 74.21 | 81.37 | 85.88 | |
| MVFAShot=16, Backbone=CONCH2026.01 | — | — | — | — | 82.26 | 76.59 | 76.05 | 73.96 | |
| S4MILFeature Extractor=UNI [7]2025.12 | — | — | — | — | — | 57.07 | 84.96 | — | |
| TransMILFeature Extractor=UNI [7]2025.12 | — | — | — | — | — | 46.83 | 75.66 | — |