Classification on Camelyon16 (test)
98.87AUCMExD
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MExDPre-trained Backbone=CTransPath (SRCL)2025.03 | 98.87 | 97.48 | 97.29 | — | |
| MExDPre-trained Backbone=ViT (MoCo V3)2025.03 | 98 | 96.74 | 96.49 | — | |
| PAMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 97.7 | 94.7 | 96.1 | — | |
| MambaMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 97.28 | 94.11 | 93.73 | — | |
| MHIM-MILPre-trained Backbone=ViT (MoCo V3)2025.03 | 97.2 | 93.7 | 93.24 | — | |
| DTFD-MILPre-trained Backbone=CTransPath (SRCL)2025.03 | 96.82 | 95.16 | 94.8 | — | |
| CLAM-MBPre-trained Backbone=ViT (MoCo V3)2025.03 | 96.64 | 88.99 | 87.78 | — | |
| IBMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 96.41 | 95.35 | 95.02 | — | |
| MHIM-MILPre-trained Backbone=CTransPath (SRCL)2025.03 | 96.14 | 94.99 | 94.67 | — | |
| MambaMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 96.06 | 94.42 | 93.98 | — | |
| CLAM-SBPre-trained Backbone=ViT (MoCo V3)2025.03 | 95.15 | 91.16 | 90.32 | — | |
| TransMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 95.05 | 93.8 | 93.33 | — | |
| TransMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 95.03 | 94.19 | 93.69 | — | |
| ACMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 94.85 | 93.99 | 93.8 | — | |
| IBMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 94.37 | 93.33 | 92.68 | — | |
| ICMIL (w/ DTFD-MIL)Loss Propagation g(·) -> f(·)=true, Loss Propagation f=true, Loss Propagation g=true2023.03 | 93.7 | 90.6 | 87 | — | |
| CLAM-MBPre-trained Backbone=CTransPath (SRCL)2025.03 | 93.63 | 91.94 | 91.2 | — | |
| Fully-supervisedScale=Single2020.11 | 93.62 | 91.47 | — | — | |
| CLAM-SBPre-trained Backbone=CTransPath (SRCL)2025.03 | 93.55 | 91.32 | 90.47 | — | |
| DTFD-MILLoss Propagation g(·) -> f(·)=true2023.03 | 93.2 | 89 | 84.9 | — | |
| DTFD-MILPre-trained Backbone=ViT (MoCo V3)2025.03 | 93.05 | 90.89 | 89.98 | — | |
| WiKGPre-trained Backbone=CTransPath (SRCL)2025.03 | 92.73 | 91.28 | 90.62 | — | |
| ABMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 92.41 | 90.7 | 89.81 | — | |
| DSMILPre-trained Backbone=CTransPath (SRCL)2025.03 | 92.05 | 89.73 | 88.84 | — | |
| DSMIL-LCScale=Multiple2020.11 | 91.65 | 89.92 | — | — | |
| TransMILLoss Propagation g(·) -> f(·)=true2023.03 | 90.6 | 85.8 | 79.7 | — | |
| WiKGPre-trained Backbone=ViT (MoCo V3)2025.03 | 90.06 | 87.6 | 86.28 | — | |
| ICMIL (w/ AB-MIL)Loss Propagation g(·) -> f(·)=true, Loss Propagation f=true, Loss Propagation g=true2023.03 | 90 | 86.6 | 80.5 | — | |
| DS-MILLoss Propagation g(·) -> f(·)=true, Loss Propagation f=true2023.03 | 89.9 | 85.6 | 81.5 | — | |
| DSMILScale=Single2020.11 | 89.44 | 86.82 | — | — | |
| ACMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 89.44 | 87.75 | 86.69 | — | |
| Instance+Bag Prompt Learning (TOP)shots=16-shot2023.05 | 88.96 | — | — | — | |
| MS-ABMILScale=Multiple2020.11 | 88.72 | 87.6 | — | — | |
| CLAM-MBLoss Propagation g(·) -> f(·)=true2023.03 | 87.8 | 82.3 | 77.4 | — | |
| RNN-MILLoss Propagation g(·) -> f(·)=true2023.03 | 87.5 | 84.4 | 79.8 | — | |
| CLAM-SBLoss Propagation g(·) -> f(·)=true2023.03 | 87.1 | 83.7 | 77.5 | — | |
| ABMILScale=Single2020.11 | 86.53 | 84.5 | — | — | |
| Max-poolingScale=Single2020.11 | 86.41 | 82.95 | — | — | |
| PTCMILPretrained on=TCGA-NSCLC, Evaluation protocol=few-shot adaptation2025.07 | 85.73 | 77.36 | — | — | |
| CoOp (Attention-pooling)shots=16-shot, pooling=Attention-pooling2023.05 | 85.67 | — | — | — | |
| AB-MILLoss Propagation g(·) -> f(·)=true2023.03 | 85.4 | 84.5 | 78 | — | |
| ICMIL (w/ Max Pooling)Loss Propagation g(·) -> f(·)=true, Loss Propagation f=true, Loss Propagation g=true2023.03 | 85.2 | 81.9 | 74.7 | — | |
| CLAMPretrained on=TCGA-NSCLC, Evaluation protocol=few-shot adaptation2025.07 | 84.72 | 76.08 | — | — | |
| ABMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 84.29 | 87.02 | 85.04 | — | |
| MambaMILPretrained on=TCGA-NSCLC, Evaluation protocol=few-shot adaptation2025.07 | 83.93 | 75.62 | — | — | |
| DSMILPretrained on=TCGA-NSCLC, Evaluation protocol=few-shot adaptation2025.07 | 83.88 | 75.47 | — | — | |
| MS-MILRNNScale=Multiple2020.11 | 83.71 | 81.4 | — | — | |
| DTFD-MILPretrained on=TCGA-NSCLC, Evaluation protocol=few-shot adaptation2025.07 | 83.51 | 66.87 | — | — | |
| DSMILPre-trained Backbone=ViT (MoCo V3)2025.03 | 82.64 | 81.2 | 78.82 | — | |
| MILRNNScale=Single2020.11 | 80.64 | 80.62 | — | — | |
| Max PoolingLoss Propagation g(·) -> f(·)=true2023.03 | 79.5 | 80.3 | 70.6 | — | |
| Mean-poolingScale=Single2020.11 | 76.2 | 79.84 | — | — | |
| Linear-Probe (Attention-pooling)shots=16-shot, pooling=Attention-pooling2023.05 | 75.08 | — | — | — | |
| Instance+Bag Prompt Learning (TOP)shots=8-shot2023.05 | 72 | — | — | — | |
| Instance+Bag Prompt Learning (TOP)shots=4-shot2023.05 | 71.42 | — | — | — | |
| Instance+Bag Prompt Learning (TOP)shots=2-shot2023.05 | 70.19 | — | — | — | |
| Instance+Bag Prompt Learning (TOP)shots=1-shot2023.05 | 69.38 | — | — | — | |
| CoOp (Attention-pooling)shots=8-shot, pooling=Attention-pooling2023.05 | 66.48 | — | — | — | |
| Linear-Probe (Attention-pooling)shots=8-shot, pooling=Attention-pooling2023.05 | 66.3 | — | — | — | |
| TransMILPretrained on=TCGA-NSCLC, Evaluation protocol=few-shot adaptation2025.07 | 66 | 61.36 | — | — | |
| CoOp (Attention-pooling)shots=4-shot, pooling=Attention-pooling2023.05 | 63.33 | — | — | — | |
| Linear-Probe (Attention-pooling)shots=4-shot, pooling=Attention-pooling2023.05 | 63.16 | — | — | — | |
| CoOp (Attention-pooling)shots=2-shot, pooling=Attention-pooling2023.05 | 62.21 | — | — | — | |
| Linear-Probe (Attention-pooling)shots=2-shot, pooling=Attention-pooling2023.05 | 61.77 | — | — | — | |
| Mean PoolingLoss Propagation g(·) -> f(·)=true2023.03 | 60.3 | 70.1 | 44.1 | — | |
| Linear-Probe (Attention-pooling)shots=1-shot, pooling=Attention-pooling2023.05 | 59.34 | — | — | — | |
| CoOp (Attention-pooling)shots=1-shot, pooling=Attention-pooling2023.05 | 59.23 | — | — | — | |
| DGR-MILPretrained on=TCGA-NSCLC, Evaluation protocol=few-shot adaptation2025.07 | 54 | 51.09 | — | — | |
| ILRAPretrained on=TCGA-NSCLC, Evaluation protocol=few-shot adaptation2025.07 | 53.73 | 53.46 | — | — | |
| ABMILk=2, #P=0.262025.05 | — | — | 43.1 | 35.8 | |
| ABMILk=4, #P=0.262025.05 | — | — | 49.2 | 40.7 | |
| ABMILk=8, #P=0.262025.05 | — | — | 48.9 | 45.4 | |
| ABMILk=16, #P=0.262025.05 | — | — | 71.2 | 72.5 | |
| CATEk=2, #P=1.932025.05 | — | — | 45.7 | 40.7 | |
| CATEk=4, #P=1.932025.05 | — | — | 50 | 52.6 | |
| CATEk=8, #P=1.932025.05 | — | — | 69.1 | 76.8 | |
| CATEk=16, #P=1.932025.05 | — | — | 87.5 | 92.5 | |
| MR-ABMILk=2, #P=0.102025.05 | — | — | 43.2 | 37.9 | |
| MR-ABMILk=4, #P=0.102025.05 | — | — | 43.8 | 39 | |
| MR-ABMILk=8, #P=0.102025.05 | — | — | 53.8 | 53 | |
| MR-ABMILk=16, #P=0.102025.05 | — | — | 74.5 | 77.9 | |
| MR-CATEk=2, #P=0.842025.05 | — | — | 51.9 | 48.2 | |
| MR-CATEk=4, #P=0.842025.05 | — | — | 58.4 | 54.3 | |
| MR-CATEk=8, #P=0.842025.05 | — | — | 81.7 | 84.9 | |
| MR-CATEk=16, #P=0.842025.05 | — | — | 86.7 | 92.2 |