Cancer grading and staging on TCGA-PRAD (External test)
0.99AUCFusion (Concatenation)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Fusion (Concatenation)Model=M_Con_tau2025.12 | 0.99 | 88 | 97 | 92 | |
| Intelligent Fusion (Pruning)Embedding=Fusion (Pruning), Model=M_IF2025.12 | 0.99 | 96 | 99 | 97 | |
| Fusion (Pruning) / Intelligent FusionModel=M_IF_tau2025.12 | 0.98 | 92 | 97 | 94 | |
| CHIEFEmbedding=CHIEF, Model=M_Chief2025.12 | 0.98 | 92 | 97 | 96 | |
| Fusion (Majority Vote)Model=M_Maj_tau2025.12 | 0.97 | 88 | 97 | 92 | |
| Fusion (Majority Vote)Embedding=Fusion (Majority Vote), Model=M_Maj2025.12 | 0.97 | 83 | 100 | 93 | |
| Fusion (Concatenation)Embedding=Fusion (Concatenation), Model=M_Con2025.12 | 0.97 | 83 | 100 | 91 | |
| MUSKModel=M_Musk2025.12 | 0.96 | 80 | 96 | 88 | |
| ConchModel=M_Conch2025.12 | 0.94 | 71 | 97 | 84 | |
| Prov-GigapathModel=M_Giga2025.12 | 0.94 | 88 | 87 | 85 | |
| MADELEINEEmbedding=MADELEINE, Model=M_Madel2025.12 | 0.94 | 88 | 92 | 88 | |
| VirchowModel=M_Virch2025.12 | 0.93 | 85 | 97 | 91 | |
| H-Optimus1Model=M_Hopt2025.12 | 0.93 | 79 | 97 | 86 | |
| TITANEmbedding=TITAN, Model=M_Titan2025.12 | 0.93 | 79 | 97 | 84 |