Cancer Classification on TCGA-BRCA
98.3AccuracyABMIL
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| ABMIL2023.07 | 98.3 | 97.3 | 97.3 | — | — | — | — | |
| HEAT2023.07 | 98.3 | 98.8 | 99.5 | — | — | — | — | |
| PatchGCN2023.07 | 98.2 | 96.2 | 98.4 | — | — | — | — | |
| H2-MIL2023.07 | 98 | 97.9 | 97.6 | — | — | — | — | |
| FALFormerEncoder=CTransPath2024.07 | 96.3 | 97 | — | 93.7 | 90.6 | 97.8 | — | |
| ReMix2023.07 | 95.8 | 96.1 | 93 | — | — | — | — | |
| ResTopoMIL2026.05 | 95.68 | 98.38 | — | — | — | — | — | |
| DSMIL2023.07 | 95.6 | 98.7 | 93.3 | — | — | — | — | |
| CLAM-SBEncoder=CTransPath2024.07 | 95.06 | 95.8 | — | 91.4 | 87.5 | 97.1 | — | |
| CLAM-MBEncoder=CTransPath2024.07 | 95.06 | 97 | — | 91.4 | 87.5 | 97.1 | — | |
| 2DMambaMIL2026.05 | 94.9 | 97.55 | — | — | — | — | — | |
| MHIM-MIL2026.05 | 94.65 | 97.69 | — | — | — | — | — | |
| ILRA-MIL2026.05 | 94.55 | 96.21 | — | — | — | — | — | |
| DGR-MIL2026.05 | 94.55 | 97.24 | — | — | — | — | — | |
| GTNMIL2023.07 | 94.5 | 94.7 | 93.7 | — | — | — | — | |
| ResTopoMILFeature Extractor=CTransPath2026.05 | 94.2 | 97.5 | — | 91.5 | — | — | — | |
| AB-MIL2026.05 | 94.14 | 97.27 | — | — | — | — | — | |
| DS-MIL2026.05 | 94.09 | 97.77 | — | — | — | — | — | |
| TransMIL2026.05 | 94.09 | 97.87 | — | — | — | — | — | |
| TransMILEncoder=CTransPath2024.07 | 93.83 | 94.9 | — | 88.8 | 84.4 | 96.4 | — | |
| 2DMambaMILFeature Extractor=CTransPath2026.05 | 93.5 | 96.4 | — | 90.1 | — | — | — | |
| WSD-MILBackbone=Virchow2025.12 | 93.35 | 94.83 | — | 84.19 | — | — | — | |
| CLAM-SB2026.05 | 93.14 | 98.14 | — | — | — | — | — | |
| ILRA-MILFeature Extractor=CTransPath2026.05 | 93.1 | 95.25 | — | 89.5 | — | — | — | |
| MHIM-MILFeature Extractor=CTransPath2026.05 | 93.1 | 96.58 | — | 89.5 | — | — | — | |
| CLAMBackbone=Virchow2025.12 | 93.05 | 93.43 | — | 82.63 | — | — | — | |
| Mean PoolingBackbone=Virchow2025.12 | 93.04 | 94.39 | — | 82.99 | — | — | — | |
| FALFormerEncoder=ResNet502024.07 | 92.59 | 94.5 | — | 87.7 | 86 | 89.9 | — | |
| R2T-MILBackbone=Virchow2025.12 | 92.51 | 93.95 | — | 82.6 | — | — | — | |
| AB-MILFeature Extractor=CTransPath2026.05 | 92.5 | 96.05 | — | 90.1 | — | — | — | |
| TransMILFeature Extractor=CTransPath2026.05 | 92.5 | 96.45 | — | 88.5 | — | — | — | |
| ABMILBackbone=Virchow2025.12 | 91.91 | 94.78 | — | 82.32 | — | — | — | |
| Max PoolingBackbone=Virchow2025.12 | 91.81 | 91.85 | — | 79.27 | — | — | — | |
| S4-MILBackbone=Virchow2025.12 | 91.81 | 93.21 | — | 80.49 | — | — | — | |
| CLAM-SBFeature Extractor=CTransPath2026.05 | 91.5 | 96.85 | — | 90.85 | — | — | — | |
| CLAM-MBEncoder=ResNet502024.07 | 91.36 | 94.2 | — | 84.4 | 80.5 | 91.2 | — | |
| TransMILBackbone=Virchow2025.12 | 91.31 | 93.88 | — | 80.26 | — | — | — | |
| LRMILResolution Setup=SC2026.06 | 90.7 | 92.3 | — | — | — | — | 4 | |
| WSD-MILBackbone=ResNet502025.12 | 90.38 | 91.14 | — | 77.68 | — | — | — | |
| CLAM-SBEncoder=ResNet502024.07 | 90.12 | 92.6 | — | 81.7 | 77.3 | 90 | — | |
| HDMILResolution Setup=SC2026.06 | 89.8 | 91.9 | — | — | — | — | 46 | |
| TransMILBackbone=ResNet502025.12 | 89.77 | 89.54 | — | 75.58 | — | — | — | |
| CLAM-SBResolution Setup=Full HR2026.06 | 89.6 | 91.8 | — | — | — | — | 49 | |
| DGR-MILFeature Extractor=CTransPath2026.05 | 89.5 | 96.05 | — | 89.5 | — | — | — | |
| R2T-MILBackbone=ResNet502025.12 | 89.25 | 89.44 | — | 74.54 | — | — | — | |
| DS-MILFeature Extractor=CTransPath2026.05 | 89.1 | 96.22 | — | 91.1 | — | — | — | |
| TransMILEncoder=ResNet502024.07 | 88.89 | 93.2 | — | 78.7 | 88.8 | 74.2 | — | |
| R2T-MILBackbone=PLIP, Pre-training=WSI pretrained2024.02 | 88.82 | 93.8 | — | 84.55 | — | — | — | |
| ZOOMMILResolution Setup=SC2026.06 | 88.6 | 92.2 | — | — | — | — | 9 | |
| Mean-PResolution Setup=Full HR2026.06 | 88.5 | 91.6 | — | — | — | — | 49 | |
| DTFD-MILResolution Setup=Full HR2026.06 | 88.5 | 91.1 | — | — | — | — | 49 | |
| R2T-MILBackbone=ResNet-50, Pre-training=ImageNet pretrained2024.02 | 88.33 | 93.17 | — | 83.7 | — | — | — | |
| ABMILResolution Setup=Full HR2026.06 | 88.3 | 91.1 | — | — | — | — | 49 | |
| TransMILResolution Setup=Full HR2026.06 | 88.2 | 92.1 | — | — | — | — | 49 | |
| S4-MILBackbone=ResNet502025.12 | 88.13 | 90.56 | — | 73.13 | — | — | — | |
| ABMILBackbone=ResNet502025.12 | 87.61 | 88.89 | — | 70.64 | — | — | — | |
| IBMILBackbone=PLIP, Pre-training=WSI pretrained2024.02 | 87.57 | 91.71 | — | 82.78 | — | — | — | |
| DSMILResolution Setup=Full HR2026.06 | 87.5 | 91.1 | — | — | — | — | 49 | |
| DSMILBackbone=PLIP, Pre-training=WSI pretrained2024.02 | 87.25 | 91.8 | — | 82.18 | — | — | — | |
| DSMILBackbone=ResNet-50, Pre-training=ImageNet pretrained2024.02 | 87.2 | 91.58 | — | 82.41 | — | — | — | |
| MHIM-MILBackbone=PLIP, Pre-training=WSI pretrained2024.02 | 87.07 | 93.17 | — | 82.48 | — | — | — | |
| CLAM-MBResolution Setup=Full HR2026.06 | 86.9 | 91.6 | — | — | — | — | 49 | |
| CLAMBackbone=ResNet502025.12 | 86.8 | 89.29 | — | 71.26 | — | — | — | |
| MHIM-MILBackbone=ResNet-50, Pre-training=ImageNet pretrained2024.02 | 86.73 | 92.36 | — | 82.43 | — | — | — | |
| CLAMBackbone=PLIP, Pre-training=WSI pretrained2024.02 | 86.7 | 92.16 | — | 81.91 | — | — | — | |
| DTFD-MILBackbone=PLIP, Pre-training=WSI pretrained2024.02 | 86.42 | 92.16 | — | 81.77 | — | — | — | |
| AB-MILBackbone=ResNet-50, Pre-training=ImageNet pretrained2024.02 | 86.41 | 91.1 | — | 81.64 | — | — | — | |
| DTFD-MILBackbone=ResNet-50, Pre-training=ImageNet pretrained2024.02 | 85.92 | 91.43 | — | 81.09 | — | — | — | |
| TransMILBackbone=PLIP, Pre-training=WSI pretrained2024.02 | 85.83 | 92.17 | — | 81.12 | — | — | — | |
| AB-MILBackbone=PLIP, Pre-training=WSI pretrained2024.02 | 85.45 | 91.73 | — | 80.6 | — | — | — | |
| Max-PResolution Setup=Full HR2026.06 | 85.2 | 86.5 | — | — | — | — | 49 | |
| CLAMBackbone=ResNet-50, Pre-training=ImageNet pretrained2024.02 | 85.17 | 91.67 | — | 80.37 | — | — | — | |
| Mean PoolingBackbone=ResNet502025.12 | 84.86 | 89.43 | — | 68.64 | — | — | — | |
| TransMILBackbone=ResNet-50, Pre-training=ImageNet pretrained2024.02 | 84.68 | 90.8 | — | 79.86 | — | — | — | |
| IBMILBackbone=ResNet-50, Pre-training=ImageNet pretrained2024.02 | 84.19 | 91.01 | — | 79.45 | — | — | — | |
| Max PoolingBackbone=ResNet502025.12 | 82.19 | 85.32 | — | 64.39 | — | — | — | |
| FD-SVMnl/K=122026.04 | 80.7 | — | — | — | — | — | — | |
| PMBOnl/K=122026.04 | 80.4 | — | — | — | — | — | — | |
| p-EIKnl/K=122026.04 | 80.4 | — | — | — | — | — | — | |
| FD-SVMnl/K=82026.04 | 79.6 | — | — | — | — | — | — | |
| PMBOnl/K=82026.04 | 79.5 | — | — | — | — | — | — | |
| p-EIKnl/K=82026.04 | 79.3 | — | — | — | — | — | — | |
| PMBOnl/K=42026.04 | 78.6 | — | — | — | — | — | — | |
| p-EIKnl/K=42026.04 | 77.7 | — | — | — | — | — | — | |
| FD-wkNNnl/K=122026.04 | 76.8 | — | — | — | — | — | — | |
| naive-kNNnl/K=122026.04 | 76.4 | — | — | — | — | — | — | |
| FD-wkNNnl/K=82026.04 | 75 | — | — | — | — | — | — | |
| FD-SVMnl/K=42026.04 | 74.5 | — | — | — | — | — | — | |
| naive-kNNnl/K=82026.04 | 73.7 | — | — | — | — | — | — | |
| FD-wkNNnl/K=42026.04 | 70.1 | — | — | — | — | — | — | |
| naive-kNNnl/K=42026.04 | 66.8 | — | — | — | — | — | — | |
| GBCRnl/K=122026.04 | 62.5 | — | — | — | — | — | — | |
| GBCRnl/K=82026.04 | 62.1 | — | — | — | — | — | — | |
| GBCRnl/K=42026.04 | 61 | — | — | — | — | — | — |