Video Polyp Segmentation On Sun Seg Hard 1
评估指标
Dice
IoU
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Dice | IoU | Paper Title | Repository |
|---|---|---|---|---|
| LGRNet | 0.876 | 0.805 | HilbertMamba: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos | |
| UNet | 0.542 | - | U-Net: Convolutional Networks for Biomedical Image Segmentation | |
| MS-TFAL | 0.862 | 0.788 | Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation | |
| UNet++ | 0.554 | - | UNet++: A Nested U-Net Architecture for Medical Image Segmentation | |
| FLA-Net | 0.858 | 0.781 | Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos | |
| WeakPolyP | 0.854 | 0.777 | WeakPolyp: You Only Look Bounding Box for Polyp Segmentation |
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