Fundus
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Optic Cup / Disc Segmentation | Fundus Overall | DC Avg88.6 | 27 | |
| Optic Cup / Disc Segmentation | Fundus Domain 4 | DC (Cup)85.61 | 22 | |
| Optic Cup / Disc Segmentation | Fundus Domain 3 | DC (Cup)67.7 | 22 | |
| Optic Cup / Disc Segmentation | Fundus Domain 2 | DC (Cup)80.55 | 22 | |
| Optic Cup / Disc Segmentation | Fundus Domain 1 | DC (Cup)85.53 | 22 | |
| Fundus Segmentation | Fundus (test) | Client 1 Score88.14 | 17 | |
| Interactive Medical Image Segmentation | Fundus | Dice0.846 | 16 | |
| Top-k localization precision and sensitivity | Fundus | Top-k Precision65 | 14 | |
| Model Explainability Faithfulness | Fundus | AUDC0.907 | 14 | |
| Medical Image Segmentation | Fundus (test) | Domain 1 DC (Optic Cup)82.17 | 11 | |
| Medical Image Segmentation | Fundus (held-out) | AP5098.8 | 9 | |
| Medical Image Segmentation | Fundus 20 labels | DSC88.6 | 5 | |
| Generative Modeling | Fundus Dataset MedMNIST | KID7.42 | 3 | |
| Medical Image Quality Assessment | Fundus | SRCC0.8504 | 2 |
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