Polyp
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Few-Shot Segmentation | Polyp | mIoU62.25 | 48 | |
| Medical Image Segmentation | Polyp Endoscopy | Dice Score93.13 | 18 | |
| Object size area estimation | PolyP (100 random splits) | Interval Size12,394 | 18 | |
| Segmentation | Polyp | mIoU84.5 | 16 | |
| Medical Image Segmentation | Polyp | Dice (Client 1)75.25 | 14 | |
| Confidence Estimation | Polyp OOD | AURC14.1 | 13 | |
| Polyp Segmentation | Polyp Average (test) | DSC87.32 | 10 | |
| Polyp Segmentation | Polyp Site D (test) | DSC83.97 | 10 | |
| Polyp Segmentation | Polyp Site C (test) | DSC89.29 | 10 | |
| Polyp Segmentation | Polyp Site B (test) | DSC87.49 | 10 | |
| Polyp Segmentation | Polyp Site A (test) | DSC90.97 | 10 | |
| Medical Lesion Segmentation | Polyp | Dice83.2 | 9 | |
| Out-of-Distribution Coverage Estimation | Polyp | Max Coverage70.9 | 9 | |
| Interactive Segmentation | Polyp | mIoU81 | 8 | |
| Polyp segmentation | Polyp Kvasir and CVC (out-of-domain) | Dice Score (Kvasir-CVC)92.85 | 6 | |
| Disease Detection | Polyp | AP@0.250.363 | 6 | |
| Polyp Classification | Polyp Colonoscopy images | Accuracy95.3 | 6 | |
| Medical Image Segmentation | Polyp (target) | mIoU0.605 | 6 | |
| Semantic Segmentation | Polyp Hyper-Kvasir + Clinical NBI (80-20 train-test) | IoU80.3 | 6 | |
| Polyp Segmentation | Polyp (Colonoscopy) (val) | DSC81.83 | 6 | |
| Medical Reasoning | Polyp (test) | ROUGE0.71 | 5 | |
| Polyp Segmentation | Polyp (test) | mDice85.7 | 5 | |
| Synthetic Image Generation | Polyp dataset (test) | FID62.706 | 5 | |
| Active Prompting for Image Segmentation | Polyp | Peak Normalized Delta IoU45.35 | 4 | |
| Polyp Segmentation | Polyp dataset sequence frame (10% labeled data) | Dice71 | 4 |
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