Slide-level Classification on TCGA NSCLC (test)
94.29AccuracyTransMIL + IBMIL
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| TransMIL + IBMILBackbone=ViT, Pre-training=MoCo V3, IBMIL=true2023.03 | 94.29 | 97.98 | 94.34 | 95.25 | — | — | |
| TransMIL + IBMILBackbone=CTransPath, Pre-training=SRCL, IBMIL=true2023.03 | 93.81 | 97.24 | 93.94 | 93.76 | — | — | |
| TransMILBackbone=ViT, Pre-training=MoCo V3, IBMIL=false2023.03 | 93.81 | 96.67 | 94.26 | 93.83 | — | — | |
| ABMIL + IBMILBackbone=CTransPath, Pre-training=SRCL, IBMIL=true2023.03 | 91.9 | 96.91 | 91.92 | 91.93 | — | — | |
| TransMILBackbone=CTransPath, Pre-training=SRCL, IBMIL=false2023.03 | 91.9 | 95.55 | 92.05 | 93.82 | — | — | |
| IGT2024.03 | 91.6 | 96.7 | — | — | — | — | |
| GTP2023.05 | 91.6 | 97.3 | — | — | — | — | |
| CAMIL2023.05 | 91.6 | 97.5 | — | — | — | — | |
| DSMIL + IBMILBackbone=CTransPath, Pre-training=SRCL, IBMIL=true2023.03 | 91.43 | 97.51 | 92.05 | 93.82 | — | — | |
| CAMIL-L2023.05 | 91.4 | 97.5 | — | — | — | — | |
| DSMILBackbone=CTransPath, Pre-training=SRCL, IBMIL=false2023.03 | 90.95 | 97.13 | 92.11 | 92.79 | — | — | |
| DTFD-MIL (MaxS) + IBMILBackbone=CTransPath, Pre-training=SRCL, IBMIL=true2023.03 | 90.95 | 96.57 | 91.17 | 90.89 | — | — | |
| CAMIL-G2023.05 | 90.7 | 97.3 | — | — | — | — | |
| GTP2024.03 | 90.5 | 95.8 | — | — | — | — | |
| TransMIL2023.05 | 90.5 | 97.4 | — | — | — | — | |
| ABMILBackbone=CTransPath, Pre-training=SRCL, IBMIL=false2023.03 | 90.48 | 95.87 | 90.76 | 90.4 | — | — | |
| DSMIL + IBMILBackbone=ViT, Pre-training=MoCo V3, IBMIL=true2023.03 | 90.48 | 96.2 | 91.52 | 90.42 | — | — | |
| CLAM-MB2023.05 | 90.4 | 97.3 | — | — | — | — | |
| CLAM-SB2023.05 | 90.3 | 97.2 | — | — | — | — | |
| DSMILBackbone=ViT, Pre-training=MoCo V3, IBMIL=false2023.03 | 90 | 95.4 | 90.26 | 91.37 | — | — | |
| DTFD-MIL (MaxS) + IBMILBackbone=ViT, Pre-training=MoCo V3, IBMIL=true2023.03 | 90 | 96.35 | 90.34 | 89.92 | — | — | |
| DTFD-MIL2023.05 | 89.9 | 96.4 | — | — | — | — | |
| MARBLEmode=Our Model2026.02 | 89.66 | 97.3 | — | — | — | — | |
| TransMIL + Additivearchitecture=transformer-based, formulation=Additive2022.06 | 89.5 | 93.4 | — | — | — | — | |
| FOCUSk=16, #P=86.92025.05 | 89.32 | 96.51 | — | — | 89.32 | — | |
| TransMIL2024.03 | 89.3 | 94.2 | — | — | — | — | |
| MR-ABMILk=16, #P=0.102025.05 | 89.11 | 96.51 | — | — | 89.11 | — | |
| ABMIL + IBMILBackbone=ViT, Pre-training=MoCo V3, IBMIL=true2023.03 | 89.05 | 93.53 | 89.09 | 89.02 | — | — | |
| DTFD-MIL (MaxS)Backbone=ViT, Pre-training=MoCo V3, IBMIL=false2023.03 | 89.05 | 94.95 | 89.45 | 90.89 | — | — | |
| Patch-GCN2024.03 | 88.8 | 95 | — | — | — | — | |
| MR-CATEk=16, #P=0.842025.05 | 88.73 | 96.11 | — | — | 88.63 | — | |
| Attention MIL + Additivepooling_type=attention, formulation=Additive2022.06 | 88.6 | 94.1 | — | — | — | — | |
| DTFD-MIL (MaxS)Backbone=CTransPath, Pre-training=SRCL, IBMIL=false2023.03 | 88.57 | 94.88 | 90.41 | 88.4 | — | — | |
| ABMILBackbone=ViT, Pre-training=MoCo V3, IBMIL=false2023.03 | 88.57 | 92.71 | 88.72 | 88.51 | — | — | |
| S4-MIL2026.02 | 88.51 | 95.71 | — | — | — | — | |
| 2DMambaMIL2026.02 | 88.51 | 96.18 | — | — | — | — | |
| TransMIL2026.02 | 88.5 | 96.26 | — | — | — | — | |
| SRMambaMIL2026.02 | 88.5 | 95.92 | — | — | — | — | |
| Attention MIL [ABMIL]pooling_type=attention2022.06 | 88.3 | 94.6 | — | — | — | — | |
| TransMILk=16, #P=2.412025.05 | 88.23 | 95.61 | — | — | 88.23 | — | |
| CLAM2026.02 | 88.04 | 95.36 | — | — | — | — | |
| CLAM-MB2024.03 | 87.9 | 92.9 | — | — | — | — | |
| ABMILk=16, #P=0.262025.05 | 87.83 | 93.62 | — | — | 87.83 | — | |
| DSMIL2026.02 | 87.82 | 95.67 | — | — | — | — | |
| TransMILarchitecture=transformer-based2022.06 | 87.8 | 93.2 | — | — | — | — | |
| AB-MIL2026.02 | 87.58 | 95.72 | — | — | — | — | |
| MambaMIL2026.02 | 87.58 | 95.82 | — | — | — | — | |
| DTFD-MIL2026.02 | 87.36 | 95.59 | — | — | — | — | |
| GCN-ABMIL2024.03 | 87.3 | 94.4 | — | — | — | — | |
| MR-DGRMILk=16, #P=3.292025.05 | 86.72 | 93.91 | — | — | 86.62 | — | |
| Mean Pooling MIL + Additivepooling_type=mean, formulation=Additive2022.06 | 86.6 | 92.4 | — | — | — | — | |
| MR-ABMILk=8, #P=0.102025.05 | 86.03 | 94.03 | — | — | 85.93 | — | |
| DSMIL2024.03 | 86 | 93.9 | — | — | — | — | |
| DGRMILk=16, #P=4.082025.05 | 85.83 | 92.43 | — | — | 85.84 | — | |
| CLAM-SB2024.03 | 85.5 | 90.9 | — | — | — | — | |
| DSMIL2023.05 | 85.3 | 95.4 | — | — | — | — | |
| ABMIL + IBMILBackbone=ResNet-18, Pre-training=ImageNet, IBMIL=true2023.03 | 85.24 | 91.26 | 85.42 | 85.17 | — | — | |
| TransMILBackbone=ResNet-18, Pre-training=ImageNet, IBMIL=false2023.03 | 85.24 | 90.7 | 85.46 | 85.31 | — | — | |
| TransMIL + IBMILBackbone=ResNet-18, Pre-training=ImageNet, IBMIL=true2023.03 | 85.24 | 92.54 | 85.8 | 87.06 | — | — | |
| CATEk=16, #P=1.932025.05 | 85.22 | 94.22 | — | — | 85.12 | — | |
| FOCUSk=8, #P=86.92025.05 | 85.15 | 93.75 | — | — | 85.05 | — | |
| ViLaMILk=16, #P=40.72025.05 | 85.02 | 92.82 | — | — | 84.92 | — | |
| MR-CATEk=8, #P=0.842025.05 | 84.75 | 93.55 | — | — | 84.65 | — | |
| MR-TransMILk=16, #P=2.012025.05 | 84.16 | 93.24 | — | — | 84.06 | — | |
| ABMIL2024.03 | 84.1 | 91.3 | — | — | — | — | |
| MR-DGRMILk=8, #P=3.292025.05 | 83.09 | 91.67 | — | — | 82.89 | — | |
| Mean Pooling MILpooling_type=mean2022.06 | 83 | 92.5 | — | — | — | — | |
| MR-RRTMILk=16, #P=2.042025.05 | 82.87 | 91.05 | — | — | 82.57 | — | |
| DTFD-MIL (MaxS) + IBMILBackbone=ResNet-18, Pre-training=ImageNet, IBMIL=true2023.03 | 82.86 | 90.5 | 83.25 | 82.96 | — | — | |
| RRTMILk=16, #P=2.442025.05 | 82.74 | 90.73 | — | — | 82.64 | — | |
| MR-TransMILk=8, #P=2.012025.05 | 82.64 | 91.64 | — | — | 82.44 | — | |
| DTFD-MIL (MaxS)Backbone=ResNet-18, Pre-training=ImageNet, IBMIL=false2023.03 | 81.9 | 88.91 | 82.29 | 83.77 | — | — | |
| ABMILBackbone=ResNet-18, Pre-training=ImageNet, IBMIL=false2023.03 | 81.43 | 88.95 | 82.75 | 85.84 | — | — | |
| ABMILk=8, #P=0.262025.05 | 81.15 | 87.75 | — | — | 81.05 | — | |
| TransMILk=8, #P=2.412025.05 | 80.45 | 87.96 | — | — | 80.35 | — | |
| ABMILk=4, #P=0.262025.05 | 80.24 | 86.55 | — | — | 80.15 | — | |
| DSMIL + IBMILBackbone=ResNet-18, Pre-training=ImageNet, IBMIL=true2023.03 | 80 | 87.19 | 81.98 | 86.25 | — | — | |
| MR-RRTMILk=8, #P=2.042025.05 | 79.87 | 87.37 | — | — | 79.67 | — | |
| FOCUSk=4, #P=86.92025.05 | 79.52 | 87.92 | — | — | 79.42 | — | |
| MR-CATEk=4, #P=0.842025.05 | 79.43 | 87.03 | — | — | 79.43 | — | |
| MR-ABMILk=4, #P=0.102025.05 | 79.42 | 86.82 | — | — | 79.32 | — | |
| ViLaMILk=8, #P=40.72025.05 | 79.25 | 88.45 | — | — | 79.25 | — | |
| Max-pooling2024.03 | 79 | 85.8 | — | — | — | — | |
| CATEk=8, #P=1.932025.05 | 78.24 | 87.75 | — | — | 78.04 | — | |
| DSMILBackbone=ResNet-18, Pre-training=ImageNet, IBMIL=false2023.03 | 77.62 | 86.88 | 80.56 | 85.78 | — | — | |
| Mean-pooling2024.03 | 77.6 | 86.2 | — | — | — | — | |
| MR-TransMILk=4, #P=2.012025.05 | 75.52 | 83.03 | — | — | 75.42 | — | |
| ViLaMILk=4, #P=40.72025.05 | 74.32 | 82.92 | — | — | 73.92 | — | |
| DGRMILk=8, #P=4.082025.05 | 74.27 | 85.56 | — | — | 73.48 | — | |
| RRTMILk=8, #P=2.442025.05 | 74.26 | 82.59 | — | — | 73.96 | — | |
| MR-DGRMILk=4, #P=3.292025.05 | 73.12 | 80.13 | — | — | 72.53 | — | |
| CATEk=4, #P=1.932025.05 | 72.83 | 81.43 | — | — | 72.34 | — | |
| TransMILk=4, #P=2.412025.05 | 71.62 | 79.92 | — | — | 71.02 | — | |
| MR-RRTMILk=4, #P=2.042025.05 | 64.05 | 69.96 | — | — | 63.95 | — | |
| DGRMILk=4, #P=4.082025.05 | 62.47 | 71.51 | — | — | 60.39 | — | |
| RRTMILk=4, #P=2.442025.05 | 61.53 | 65.74 | — | — | 60.82 | — | |
| MacenkoFeature Extractor=UNI2026.05 | — | — | — | — | — | 71.88 | |
| MacenkoFeature Extractor=CONCH-v1.52026.05 | — | — | — | — | — | 79.51 | |
| Original PFMFeature Extractor=UNI2026.05 | — | — | — | — | — | 76.22 | |
| Original PFMFeature Extractor=CONCH-v1.52026.05 | — | — | — | — | — | 82.29 |