From: P-TransUNet: an improved parallel network for medical image segmentation
Method | mDice | mIoU | Recall | Precision |
---|---|---|---|---|
U-Net [5] | 0.5621 | 0.405 | 0.4364 | 0.8466 |
U-Net++  [6] | 0.6783 | 0.5494 | 0.7311 | 0.6885 |
HRNet-Smallv2 [40] | 0.2107 | 0.1363 | 0.2038 | 0.3347 |
HRNet [40] | 0.2349 | 0.2461 | 0.3372 | 0.1523 |
Deeplabv3 + Xception [37] | 0.6746 | 0.5327 | 0.6296 | 0.7757 |
Deeplabv3 + Mobile [37] | 0.6474 | 0.5098 | 0.6632 | 0.6878 |
MSRF-Net [35] | 0.7575 | 0.6337 | 0.7197 | 0.8414 |
Our method | 0.7911 | 0.6876 | 0.8409 | 0.7825 |