CVC-ClinicDB
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Polyp Segmentation | CVC-ClinicDB (test) | DSC94.69 | 211 | |
| Polyp Segmentation | CVC-ClinicDB | Dice Coefficient95.1 | 96 | |
| Medical Image Segmentation | CVC-ClinicDB | Dice Score95.58 | 82 | |
| Medical Image Segmentation | CVC-ClinicDB (test) | Dice95.43 | 60 | |
| Binary Segmentation | CVC-ClinicDB (test) | DSC91.91 | 26 | |
| Medical Image Segmentation | CVC-ClinicDB FedPolyp | Dice Score92.87 | 21 | |
| Polyp Segmentation | CVC-ClinicDB 60 random images | mDice94 | 20 | |
| Colon Polyp Segmentation | CVC-ClinicDB (5-fold cross-val) | mIoU90.7 | 19 | |
| Polyp Segmentation | CVC-ClinicDB (seen) | mDice95.8 | 17 | |
| Polyp segmentation | CVC-ClinicDB In-Domain | Dice86.94 | 13 | |
| Anomaly Segmentation | CVC-ClinicDB | AUROC87.3 | 13 | |
| Polyp Segmentation | CVC-ClinicDB cross-dataset models trained on Kvasir-SEG (test) | DSC79.21 | 13 | |
| Polyp Segmentation | CVC-ClinicDB 5 (test) | DSC93.9 | 11 | |
| Segmentation | CVC-ClinicDB (fold 5) | Dice Score87 | 10 | |
| Polyp Detection | CVC-ClinicDB Dirty (test) | Precision83.6 | 10 | |
| Polyp Detection | CVC-ClinicDB Clean (test) | Precision89.1 | 10 | |
| Polyp Segmentation | CVC-ClinicDB 12 (test) | Accuracy98.83 | 10 | |
| Medical polyp segmentation | CVC-ClinicDB cross-dataset (test) | Dice Score (mDice)84 | 8 | |
| Polyp Segmentation | CVC-ClinicDB 1 (test) | mDice93.3 | 7 | |
| Semantic Segmentation | CVC-ClinicDB (val) | Dice95.6 | 7 | |
| Pixel-level Anomaly Detection | CVC-ClinicDB | AUROC89.6 | 6 | |
| Segmentation | CVC-ClinicDB (test) | mIoU88.76 | 6 | |
| Polyp Segmentation | CVC-ClinicDB 2 (test) | mDice94.69 | 6 | |
| Polyp Segmentation | CVC-ClinicDB cross-dataset trained on Kvasir-SEG (test) | mIoU74.44 | 6 | |
| Image Synthesis | CVC-ClinicDB | FID149.27 | 5 |
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