From: P-TransUNet: an improved parallel network for medical image segmentation
Method | mDice | mIoU | Recall | Precision |
---|---|---|---|---|
U-Net [5] | 0.6302 | 0.5015 | 0.5612 | 0.8249 |
U-Net++  [6] | 0.4267 | 0.3623 | 0.4337 | 0.6877 |
Deeplabv3 + Xception [37] | 0.6509 | 0.5385 | 0.6251 | 0.7947 |
Deeplabv3 + Mobile [37] | 0.6303 | 0.4825 | 0.5957 | 0.7173 |
HRNetSmallv2 [40] | 0.6428 | 0.5513 | 0.6811 | 0.7253 |
HRNet [40] | 0.7901 | 0.6953 | 0.8796 | 0.7694 |
MSRF-Net [35] | 0.7921 | 0.6498 | 0.9001 | 0.7000 |
Our method | 0.8462 | 0.7584 | 0.8364 | 0.8681 |