Table 2.
Evaluation of each model.
| Model | RMSE | ACC | ROI |
|---|---|---|---|
| Cascade Mask R–CNN | 0.042 | 0.935 | 0.756 |
| Faster R–CNN | 0.055 | 0.902 | 0.643 |
| Mask R–CNN | 0.049 | 0.918 | 0.721 |
| U-Net++ | 0.056 | 0.896 | N/A |
| UNet 3+ | 0.048 | 0.915 | N/A |
| CRE-MRCNN | 0.036 | 0.952 | 0.81 |
Evaluation of each model.
| Model | RMSE | ACC | ROI |
|---|---|---|---|
| Cascade Mask R–CNN | 0.042 | 0.935 | 0.756 |
| Faster R–CNN | 0.055 | 0.902 | 0.643 |
| Mask R–CNN | 0.049 | 0.918 | 0.721 |
| U-Net++ | 0.056 | 0.896 | N/A |
| UNet 3+ | 0.048 | 0.915 | N/A |
| CRE-MRCNN | 0.036 | 0.952 | 0.81 |