Methods | Accuracy | Specificity | Sensitivity | Precision | Training | Prediction |
---|---|---|---|---|---|---|
Soares et al. [13] | 0.9373 | 0.9671 | 0.6253 | 0.6444 | – | 6 |
U-Net [1] | 0.9577 | 0.9701 | 0.6577 | 0.7308 | 12 | 10 |
AG-UNet [35] | 0.9600 | 0.9875 | 0.8297 | 0.8268 | 29 | 13 |
IterNet [26] | 0.9623 | 0.9743 | 0.7524 | 0.7284 | 428 | 53 |
DenseNet [36] | 0.9639 | 0.9812 | 0.7610 | 0.7747 | 67 | 22 |
V-GAN [37] | 0.9617 | 0.9858 | 0.8196 | 0.8213 | 107 | 32 |
M-GAN [38] | 0.9700 | 0.9931 | 0.6948 | 0.8800 | 112 | 36 |
Ours | 0.9688 | 0.9903 | 0.7451 | 0.8947 | 89 | 17 |