CVC-ClinicDB
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Polyp Segmentation | CVC-ClinicDB (test) | DSC94.69 | 211 | |
| Medical Image Segmentation | CVC-ClinicDB | Dice Score95.58 | 118 | |
| Polyp Segmentation | CVC-ClinicDB | Dice Coefficient95.3 | 101 | |
| Medical Image Segmentation | CVC-ClinicDB (test) | Dice95.43 | 67 | |
| Polyp Segmentation | CVC-ClinicDB (seen) | mDice95.8 | 35 | |
| 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 Noisy (test) | Dice Coefficient75.7 | 18 | |
| Polyp Segmentation | CVC-ClinicDB Clean (test) | Dice Score86.5 | 18 | |
| Polyp Segmentation | CVC-ClinicDB Domain A (test) | Dice Score79.37 | 18 | |
| 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 | |
| Semantic Segmentation | CVC-ClinicDB | Dice Score94.6 | 11 | |
| Pixel-level Anomaly Detection | CVC-ClinicDB | AUROC90.7 | 11 | |
| 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 |
Showing 25 of 31 rows