Multiple Instance Learning on TCGA-BRCA
88AccuracyAINet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| AINetBackbone=PLIP2026.02 | 88 | 90.9 | 92.6 | |
| AINetBackbone=ResNet182026.02 | 87.8 | 90.1 | 92.4 | |
| CLAMBackbone=PLIP2026.02 | 87.4 | 89.5 | 92.2 | |
| MHIM-ABMILBackbone=PLIP2026.02 | 87.2 | 90.2 | 92 | |
| ABMILBackbone=PLIP2026.02 | 87 | 90 | 91.8 | |
| ACMILBackbone=ResNet182026.02 | 86.9 | 90 | 92 | |
| SSMMILBackbone=PLIP2026.02 | 86.9 | 90 | 91.9 | |
| ACMILBackbone=PLIP2026.02 | 86.9 | 89 | 92 | |
| PAMoEBackbone=PLIP2026.02 | 86.9 | 89.9 | 91.9 | |
| MambaMILBackbone=ResNet182026.02 | 86.8 | 87.8 | 91.7 | |
| WIKGBackbone=PLIP2026.02 | 86.6 | 89.4 | 91.8 | |
| CLAMBackbone=ResNet182026.02 | 86.5 | 89 | 91.7 | |
| ILRABackbone=PLIP2026.02 | 86.4 | 89.6 | 91.6 | |
| SSMMILBackbone=ResNet182026.02 | 86.3 | 89.6 | 91.6 | |
| WIKGBackbone=ResNet182026.02 | 86.3 | 88.7 | 91.4 | |
| ABMILBackbone=ResNet182026.02 | 86.2 | 88.2 | 91.5 | |
| DTFD-MaxMBackbone=PLIP2026.02 | 86.2 | 86.1 | 91.6 | |
| MambaMILBackbone=PLIP2026.02 | 86.2 | 88.7 | 91.6 | |
| TransMILBackbone=PLIP2026.02 | 85.9 | 88.8 | 91.2 | |
| MHIM-TransBackbone=PLIP2026.02 | 85.9 | 88.8 | 91.2 | |
| MHIM-ABMILBackbone=ResNet182026.02 | 85.8 | 88.3 | 91.2 | |
| ILRABackbone=ResNet182026.02 | 85.7 | 88.6 | 90.8 | |
| DSMILBackbone=PLIP2026.02 | 85.6 | 89.5 | 91.1 | |
| PAMoEBackbone=ResNet182026.02 | 85.3 | 85.4 | 90.8 | |
| MHIM-TransBackbone=ResNet182026.02 | 84.8 | 87.2 | 90.5 | |
| TransMILBackbone=ResNet182026.02 | 84.7 | 84.6 | 90.5 | |
| DTFD-AFSBackbone=PLIP2026.02 | 84 | 87 | 90.1 | |
| DSMILBackbone=ResNet182026.02 | 82.3 | 82 | 89.2 | |
| DTFD-AFSBackbone=ResNet182026.02 | 82.3 | 82.4 | 89.2 | |
| DTFD-MaxMBackbone=ResNet182026.02 | 81.6 | 81 | 88.5 |