FIVES
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 2D Medical Image Segmentation | FIVES | Dice Score88.51 | 29 | |
| Vessel segmentation | FIVES | Dice Score90.1 | 26 | |
| Retinal Fundus Image Classification | FIVES | AUC94.98 | 18 | |
| Attribution Analysis | FIVES | SEG-GRAD0.0005 | 13 | |
| Medical Image Segmentation | FIVES 14 (10%) | DICE84.42 | 9 | |
| Medical Image Segmentation | FIVES 14 (5%) | DICE82.85 | 9 | |
| Classification | FIVES CFP Modality | AUC72.9 | 8 | |
| Binary Segmentation | FIVES (final block) | Dice91.01 | 8 | |
| Image Classification | FIVES | Accuracy73.1 | 6 | |
| Medical Image Segmentation | FIVES | Performance Score83.06 | 5 | |
| Retinal disease classification | FIVES (test) | AUROC92.8 | 4 | |
| Multi-disease classification | FIVES | AUROC93.6 | 4 | |
| Image Reconstruction | FIVES Gaussian-2 kernel (test) | PSNR (noise 0.02)25.69 | 3 | |
| Image Reconstruction | FIVES Gaussian-1 kernel (test) | PSNR (noise 0.02)31.16 | 3 | |
| Image Reconstruction | FIVES Indicator-20 kernel (test) | PSNR (noise 0.02)29.7 | 3 | |
| Image Reconstruction | FIVES Indicator-10 kernel (test) | PSNR (noise 0.02)31.93 | 3 |
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