Polyp Segmentation On Kvasir Seg
Metrics
mDice
mIoU
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | mDice | mIoU |
|---|---|---|
| kdas3-knowledge-distillation-via-attention | 0.913 | 0.848 |
| resunet-an-advanced-architecture-for-medical | 0.8133 | 0.7927 |
| threshnet-segmentation-refinement-inspired-by | - | 0.891 |
| multi-kernel-positional-embedding-convnext | 0.8818 | 0.8163 |
| kvasir-seg-a-segmented-polyp-dataset | 0.7877 | - |
| transnetr-transformer-based-residual-network | 0.8706 | 0.8016 |
| tganet-text-guided-attention-for-improved | 0.8982 | 0.8330 |
| medical-image-segmentation-via-cascaded | 0.9258 | 0.8776 |