Multi-label Classification on OCT-ML (five-fold cross-validation)
59.95SensitivityGeCA-S
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GeCA-SSynthetic Data=GeCA-S, Backbone=ResNet342024.07 | 59.95 | 96.38 | 92.74 | 61.62 | 68.38 | 73.28 | |
| DiT-SSynthetic Data=DiT-S, Backbone=ResNet342024.07 | 59.25 | 95.87 | 91.8 | 59.11 | 67.13 | 69.89 | |
| LDM-BSynthetic Data=LDM-B, Backbone=ResNet342024.07 | 58.83 | 96.12 | 91.22 | 59.65 | 67.74 | 70.49 | |
| BaselineAugmentation=Geometric Aug, Backbone=ResNet342024.07 | 54.66 | 96.5 | 92.47 | 55.47 | 60.8 | 68.85 | |
| BaselineAugmentation=None, Backbone=ResNet342024.07 | 48.34 | 96.39 | 89.99 | 54.56 | 50.07 | 64.58 |