Glaucoma Classification on PAPILA
87.9AUROCPRETI
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PRETISupervision Type=Non-report Supervision, Backbone=ViT-B2025.05 | 87.9 | 76.4 | — | |
| RETFoundSupervision Type=Non-report Supervision2025.05 | 85.5 | 74.8 | — | |
| RET-CLIPSupervision Type=Report Supervision2025.05 | 85.3 | 75.4 | — | |
| PRETISupervision Type=Non-report Supervision, Backbone=ViT-S2025.05 | 83.8 | 71.4 | — | |
| UrFoundSupervision Type=Report Supervision2025.05 | 78.3 | 62.5 | — | |
| Ensemble model based on the KNN algorithmReference=Sánchez-Morales et al. [49], Base Algorithm=KNN2026.07 | 78 | — | 74 | |
| FLAIRSupervision Type=Report Supervision2025.05 | 75.2 | 61 | — | |
| RETFoundEvaluation Protocol=Fine-tuning, Cross-validation=5-folds2026.03 | 68.9 | — | — | |
| Dual-IFMEvaluation Protocol=Fine-tuning, Cross-validation=5-folds, Backbone=BagNet-332026.03 | 64.8 | — | — | |
| SimCLREvaluation Protocol=Fine-tuning, Cross-validation=5-folds, Backbone=BagNet-332026.03 | 64.6 | — | — | |
| MAESupervision Type=Non-report Supervision2025.05 | 62.9 | 47.5 | — | |
| ImageNetEvaluation Protocol=Fine-tuning, Cross-validation=5-folds, Backbone=BagNet-332026.03 | 61.6 | — | — |