Command Palette
Search for a command to run...
Lesion Segmentation On Anatomical Tracings Of
평가 지표
Dice
IoU
Precision
Recall
평가 결과
이 벤치마크에서 각 모델의 성능 결과
| Paper Title | |||||
|---|---|---|---|---|---|
| MGA-Net | - | 0.3803 | 0.6773 | 0.4525 | Mutual gain adaptive network for segmenting brain stroke lesions |
| X-Net | 0.4867 | 0.3723 | 0.6000 | 0.4752 | X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies |
| ResUNet | 0.4702 | 0.3549 | 0.5941 | 0.4537 | Road Extraction by Deep Residual U-Net |
| SegNet | 0.2767 | 0.1911 | 0.3938 | 0.2532 | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation |
0 of 4 row(s) selected.