Les-AV
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Medical Image Segmentation | LES-AV | DICE0.795 | 11 | |
| A/V classification | LES-AV | Accuracy92.61 | 9 | |
| Multi-class vessel segmentation | LES-AV (test) | Sensitivity0.6294 | 6 | |
| Vein Segmentation | LES-AV | AUPR86.5 | 5 | |
| Artery Segmentation | LES-AV | AUPR81.87 | 5 | |
| Artery/Vein Segmentation | LES-AV external (test) | Dice (Artery)82.3 | 3 | |
| BV segmentation | LES-AV | Sensitivity86.41 | 2 | |
| Artery-vein segmentation | Les-AV | Dice (Arteries)80 | 2 |
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