Medical Image Segmentation On Cvc
Metrics
Dice
Recall
mIoU
precision
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Dice | Recall | mIoU | precision |
|---|---|---|---|---|
| a-comprehensive-study-on-colorectal-polyp | 0.8130 | 0.6875 | 0.8477 | 0.6276 |
| a-comprehensive-study-on-colorectal-polyp | 0.8125 | 0.6896 | 0.8467 | 0.6421 |
| meta-polyp-a-baseline-for-efficient-polyp | 0.926 | - | 0.862 | - |
| a-comprehensive-study-on-colorectal-polyp | 0.8811 | 0.7743 | 0.8739 | 0.6706 |
| resunet-an-advanced-architecture-for-medical | 0.8798 | 0.7749 | 0.8730 | 0.6702 |