WSI Classification on TCGA-RCC
94.66AccuracyTransMIL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TransMILNumber of parameters=2 672 146, Inference time (ms)=8.58, source=results from [19]2023.06 | 94.66 | 0.9882 | — | |
| Ours (Structured State Space Models)state dimension=1282023.06 | 94.26 | 0.9885 | — | |
| Random Feature Reconstruction (RFR)K=42022.07 | 91.4 | 0.974 | — | |
| Random Feature Reconstruction (RFR)K=82022.07 | 90.32 | 0.976 | — | |
| CLAM MBNumber of parameters=791 048, Inference time (ms)=5.85, source=results from [19]2023.06 | 89.66 | 0.9799 | — | |
| StreamingCNN2022.07 | 88.17 | 0.966 | — | |
| CLAM SBNumber of parameters=790 791, Inference time (ms)=0.84, source=results from [19]2023.06 | 88.16 | 0.9723 | — | |
| Max-poolingNumber of parameters=1 025, Inference time (ms)=77.492023.06 | 88.03 | 0.9659 | — | |
| CLAM-SB2022.07 | 87.63 | 0.9701 | — | |
| CLAM-MB2022.07 | 87.63 | 0.9716 | — | |
| DSMIL2022.07 | 87.1 | 0.959 | — | |
| Mean-poolingNumber of parameters=1 025, Inference time (ms)=5.602023.06 | 86.08 | 0.9612 | — | |
| GABMIL2022.07 | 86.02 | 0.9535 | — | |
| Max-poolingBackbone=ResNet34, Pooling=Max2022.07 | 84.95 | 0.9306 | — | |
| ABMIL2022.07 | 84.95 | 0.9423 | — | |
| Avg-poolingBackbone=ResNet34, Pooling=Average2022.07 | 81.72 | 0.9309 | — | |
| TransformerNumber of parameters=1 054 978, Inference time (ms)=2.602023.06 | 79.32 | 0.9147 | — | |
| LSTMNumber of parameters=789 250, Inference time (ms)=320.522023.06 | 66.54 | 0.7853 | — | |
| ABMIL2024.12 | — | — | 95.7 | |
| CPath-Omni2024.12 | — | — | 94 | |
| DSMIL2024.12 | — | — | 95.3 | |
| GPT-4o2024.12 | — | — | 43 | |
| PathGen-LLaVA2024.12 | — | — | 51.1 | |
| PRISM2024.12 | — | — | 50.3 | |
| Quilt-LLaVA2024.12 | — | — | 38.6 |