Survival Prediction on TCGA-HNSC
62.8C-IndexReconMIL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ReconMILFeature Extractor=ResNet-502026.03 | 62.8 | — | — | |
| ReconMILFeature Extractor=PLIP2026.03 | 62.7 | — | — | |
| ReconMILFeature Extractor=CONCH v1.52026.03 | 62.2 | — | — | |
| MINDDownstream predictor=penalized Cox's proportional hazards models, Evaluation protocol=five-fold cross-validation, Input features=patient information and embeddings2026.06 | 61.2 | 1 | — | |
| IntegrAODownstream predictor=penalized Cox's proportional hazards models, Evaluation protocol=five-fold cross-validation, Input features=patient information and embeddings2026.06 | 58.6 | 2 | — | |
| LWRDownstream predictor=penalized Cox's proportional hazards models, Evaluation protocol=five-fold cross-validation, Input features=patient information and embeddings2026.06 | 57.7 | 3 | — | |
| JASMINEDownstream predictor=penalized Cox's proportional hazards models, Evaluation protocol=five-fold cross-validation, Input features=patient information and embeddings2026.06 | 57.2 | 4 | — | |
| MSNEDownstream predictor=penalized Cox's proportional hazards models, Evaluation protocol=five-fold cross-validation, Input features=patient information and embeddings2026.06 | 54.6 | 5 | — | |
| HFBSurvMethod Category=Multimodal Deep Learning2026.06 | 0.66 | — | 0.238 | |
| MMDMethod Category=Multimodal Deep Learning2026.06 | 0.659 | — | 0.182 | |
| SurvPCGMethod Category=Multimodal Deep Learning2026.06 | 0.659 | — | 0.198 | |
| ChronoSurvMethod Category=Multimodal Deep Learning2026.06 | 0.652 | — | 0.182 | |
| DeepSurvMethod Category=Deep Learning2026.06 | 0.639 | — | 0.191 | |
| GraphMMPMethod Category=Multimodal Deep Learning2026.06 | 0.633 | — | 0.187 | |
| CoxPHMethod Category=Non-Deep Learning2026.06 | 0.619 | — | 0.183 | |
| DeepHitMethod Category=Deep Learning2026.06 | 0.619 | — | 0.231 | |
| WeibullMethod Category=Non-Deep Learning2026.06 | 0.593 | — | 0.195 | |
| MultiSurvMethod Category=Multimodal Deep Learning2026.06 | 0.591 | — | 0.182 | |
| RSFMethod Category=Non-Deep Learning2026.06 | 0.584 | — | 0.183 | |
| TransDSAMethod Category=Deep Learning2026.06 | 0.514 | — | 0.28 |