Table 5.
Methods | Datasets | Method description | Evaluation | |
---|---|---|---|---|
Dice | IoU | |||
Human8 | JSRT | Annotated by humans | 0.9720 | 0.9460 |
JSRT | 0.9740 | 0.9220 | ||
Ronneberge et al.22 | MCCXR | U-Net:encoder–decoder CNN | 0.9547 | 0.9256 |
SCXR | 0.9532 | 0.9119 | ||
Suza et al.23 | MCCXR | AlexNet for patch classifcation and ResNet18 based reconstruction | 0.9400 | 0.8800 |
Novikov et al.16 | JSRT | FCN Inverted-Net | 0.9685 | 0.9490 |
Lei et al.56 | JSRT | GAN based segmentation | 0.9747 | 0.9508 |
DED-CNN | JSRT | Dual encoder–decoder structure | 0.9760 | 0.9550 |
MCCXR | 0.9767 | 0.9548 | ||
SCXR | 0.9568 | 0.9184 |
The bolded values represent the best performances.