Method | IoU | Dice | Accuracy | Specificity | Precision |
---|---|---|---|---|---|
U-net (2015) | 0.7377 | 0.8491 | 0.9798 | 0.9896 | 0.8538 |
Deeplabv3+ (2018) | 0.6731 | 0.8046 | 0.9709 | 0.9766 | 0.7331 |
U-net++ (2018) | 0.7852 | 0.8797 | 0.9836 | 0.9899 | 0.8651 |
SA-Unet (2020) | 0.7201 | 0.8373 | 0.9767 | 0.9829 | 0.7894 |
U-net 3+ (2020) | 0.7541 | 0.8598 | 0.9800 | 0.9848 | 0.8123 |
CMU-Net (2022) | 0.7746 | 0.8730 | 0.9822 | 0.9873 | 0.8379 |
CA-Net (2023) | 0.7881 | 0.8815 | 0.9837 | 0.9896 | 0.8623 |
DFA-Net (ours) | 0.8011 | 0.8896 | 0.9852 | 0.9924 | 0.8941 |