Multiple Instance Learning Classification on GastWSI
64.55Accuracy (%)TaxoMIL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TaxoMILEvaluation Scenario=Holistic2026.06 | 64.55 | 61.83 | 62.1 | |
| CAMPEvaluation Scenario=Holistic2026.06 | 63.26 | 60.44 | 58.74 | |
| CLAM-SBEvaluation Scenario=Holistic2026.06 | 62.42 | 60.33 | 57.93 | |
| ViLa-MILEvaluation Scenario=Holistic2026.06 | 61.58 | 58.06 | 56.79 | |
| ABMILEvaluation Scenario=Holistic2026.06 | 61.02 | 58.49 | 56.31 | |
| HiClassEvaluation Scenario=Holistic2026.06 | 61.02 | 59.34 | 56.41 | |
| S4MILEvaluation Scenario=Holistic2026.06 | 59.72 | 58.44 | 55.09 | |
| Chang et al.Evaluation Scenario=Holistic2026.06 | 59.72 | 60.23 | 55.44 | |
| TransMILEvaluation Scenario=Holistic2026.06 | 58.42 | 56.84 | 53.62 | |
| MambaMILEvaluation Scenario=Holistic2026.06 | 58.42 | 58.55 | 53.88 | |
| WSI-VQAEvaluation Scenario=Holistic2026.06 | 56.74 | 56.2 | 42.04 | |
| HMILEvaluation Scenario=Holistic2026.06 | 55.07 | 53.63 | 49.93 | |
| SlideChatEvaluation Scenario=Holistic2026.06 | 54.79 | 49.69 | 48.85 |