Video Polyp Segmentation On Sun Seg Easy 1
Metrics
Dice
IoU
Results
Performance results of various models on this benchmark
Model Name | Dice | IoU | Paper Title | Repository |
|---|---|---|---|---|
| LGRNet | 0.875 | 0.810 | LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos | - |
| UNet | - | - | U-Net: Convolutional Networks for Biomedical Image Segmentation | |
| WeakPolyP | 0.853 | 0.781 | WeakPolyp: You Only Look Bounding Box for Polyp Segmentation | |
| UNet++ | 0.559 | - | UNet++: A Nested U-Net Architecture for Medical Image Segmentation | |
| MS-TFAL | 0.859 | 0.792 | Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation | |
| FLA-Net | 0.856 | 0.784 | Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos | - |
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