Table 5 Comparisons with the state-of-the-art baselines on the GLAS dataset terms
Method | Year | mDice | mIoU | Recall | Precision |
|---|---|---|---|---|---|
SegNet [47] | 2018 | 0.7861 | 0.6596 | – | – |
U-Net [5] | 2015 | 0.7976 | 0.6763 | – | – |
ResUNet [42] | 2018 | 0.8088 | 0.6911 | 0.8511 | 0.8001 |
MedT [31] | 2021 | 0.8102 | 0.6961 | – | – |
U-Net++ [7] | 2018 | 0.8113 | 0.6961 | – | – |
Attention U-Net [8] | 2018 | 0.8159 | 0.7006 | – | – |
KiU-Net [23] | 2020 | 0.8325 | 0.7278 | – | – |
DS-TransUNet [14] | 2021 | 0.8719 | 0.7845 | – | – |
EG-TransUNet | – | 0.9003 | 0.8247 | 0.9025 | 0.9027 |