Cancer grading and staging on TCGA-READ (val)
1AUCFusion (Concatenation)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Fusion (Concatenation)Model=M_Con_tau2025.12 | 1 | 0.95 | 0.83 | 0.93 | |
| H-Optimus1Model=M_Hopt2025.12 | 0.99 | 0.95 | 0.71 | 0.85 | |
| Fusion (Pruning) / Intelligent FusionModel=M_IF_tau2025.12 | 0.98 | 0.9 | 0.92 | 0.9 | |
| MADELEINEEmbedding=MADELEINE, Model=M_Madel2025.12 | 0.98 | 1 | 0.75 | 0.93 | |
| Prov-GigapathModel=M_Giga2025.12 | 0.96 | 0.95 | 0.75 | 0.86 | |
| VirchowModel=M_Virch2025.12 | 0.94 | 0.9 | 0.83 | 0.87 | |
| TITANEmbedding=TITAN, Model=M_Titan2025.12 | 0.88 | 1 | 0.29 | 0.89 | |
| Fusion (Concatenation)Embedding=Fusion (Concatenation), Model=M_Con2025.12 | 0.88 | 0.94 | 0.29 | 0.85 | |
| ConchModel=M_Conch2025.12 | 0.86 | 0.85 | 0.75 | 0.8 | |
| MUSKModel=M_Musk2025.12 | 0.86 | 0.78 | 0.86 | 0.78 | |
| Fusion (Majority Vote)Embedding=Fusion (Majority Vote), Model=M_Maj2025.12 | 0.86 | 0.95 | 0.57 | 0.9 | |
| Intelligent Fusion (Pruning)Embedding=Fusion (Pruning), Model=M_IF2025.12 | 0.83 | 0.89 | 0.43 | 0.84 | |
| CHIEFEmbedding=CHIEF, Model=M_Chief2025.12 | 0.72 | 0.95 | 0.29 | 0.86 |