Slide-Level Subtyping on TCGA-BRCA (25% train)
0.821Macro AUCHIPT
Evaluation results
| Method | Links | |
|---|---|---|
| HIPTArchitecture=HIPT, Evaluation Protocol=Weakly-supervised Fine-tuning2022.06 | 0.821 | |
| CLAM-SBArchitecture=CLAM-SB, Evaluation Protocol=Weakly-supervised Fine-tuning2022.06 | 0.796 | |
| DS-MILArchitecture=DS-MIL, Evaluation Protocol=Weakly-supervised Fine-tuning2022.06 | 0.76 | |
| GCN-MILArchitecture=GCN-MIL, Evaluation Protocol=Weakly-supervised Fine-tuning2022.06 | 0.727 | |
| DeepAttnMISLArchitecture=DeepAttnMISL, Evaluation Protocol=Weakly-supervised Fine-tuning2022.06 | 0.685 | |
| ViT_4096-256 (Mean)Architecture=ViT_4096-256, Evaluation Protocol=K-Nearest Neighbors (KNN), Aggregation Method=Mean Pooling2022.06 | 0.682 | |
| MILArchitecture=MIL, Evaluation Protocol=Weakly-supervised Fine-tuning2022.06 | 0.673 | |
| ResNet-50IN (Mean)Architecture=ResNet-50IN, Evaluation Protocol=K-Nearest Neighbors (KNN), Aggregation Method=Mean Pooling2022.06 | 0.638 | |
| ViT_256-16 (Mean)Architecture=ViT_256-16, Evaluation Protocol=K-Nearest Neighbors (KNN), Aggregation Method=Mean Pooling2022.06 | 0.605 |