Slide-level classification on MLH1-UCEC (test)
80.3AccuracyUNI
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| UNIMIL method=ABMIL fine-tuning2025.12 | 80.3 | 39.3 | 85.3 | 72.2 | |
| GPFMMIL method=ABMIL fine-tuning2025.12 | 80.3 | 39.3 | 83 | 72.2 | |
| StainNet-BaseMIL method=ABMIL fine-tuning2025.12 | 80.3 | 53.6 | 87.4 | 75.4 | |
| CTransPathMIL method=ABMIL fine-tuning2025.12 | 78.5 | 37.6 | 77.9 | 70.5 | |
| Prov-GigaPathMIL method=ABMIL fine-tuning2025.12 | 78.5 | 42.7 | 85 | 72.4 | |
| H-optimus-0MIL method=ABMIL fine-tuning2025.12 | 78.5 | 38.4 | 80.8 | 70.6 | |
| StainNet-SmallMIL method=ABMIL fine-tuning2025.12 | 78.5 | 37.3 | 72.3 | 70.4 | |
| UNI-2MIL method=ABMIL fine-tuning2025.12 | 78 | 37.9 | 79 | 70 | |
| LunitMIL method=ABMIL fine-tuning2025.12 | 77.5 | 36.9 | 74.5 | 69.5 | |
| Virchow-2MIL method=ABMIL fine-tuning2025.12 | 77.5 | 38.2 | 81.5 | 70 | |
| PathoDuetMIL method=ABMIL fine-tuning2025.12 | 76.2 | 36.1 | 68.9 | 68.8 | |
| PathOrchestraMIL method=ABMIL fine-tuning2025.12 | 76.1 | 36.7 | 75.7 | 68.4 | |
| HIPTMIL method=ABMIL fine-tuning2025.12 | 70.6 | 28.5 | 59.2 | 60 | |
| ResNet-50MIL method=ABMIL fine-tuning2025.12 | 63.8 | 20 | 61.8 | 49.7 |