Skin Lesion
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Object size area estimation | Skin Lesion (100 random splits) | Interval Size934 | 18 | |
| Conformal Prediction | Skin Lesion | Interval Size1,318 | 16 | |
| Medical Lesion Segmentation | Skin Lesion | Dice Coefficient90.85 | 12 | |
| Medical Image Segmentation | Skin Lesion (held-out) | AP5098.5 | 9 | |
| Medical Image Classification | Skin-Lesion gamma = 0% (test) | Accuracy85.98 | 5 | |
| Medical Image Classification | Skin-Lesion gamma = 33% (test) | Sensitivity16.58 | 5 | |
| Medical Image Classification | Skin-Lesion gamma = 67% (test) | Metric Am10.82 | 5 | |
| Multi-task Classification | Skin-Lesion (gamma = 0%) | Overall Accuracy85.98 | 5 | |
| Multi-task Classification | Skin-Lesion gamma = 33% | Classification Component Am16.58 | 5 | |
| Multi-task Classification | Skin-Lesion gamma = 67% | Metric Am10.82 | 5 |
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