Table 3.
Performance of the proposed network with different CNN components and configurations.
| CNN Width | Kernel Size | Dropout Rate | ROI Attention | Skip Attention | Residual Module | Activation Function | SSIM | R | SSIM+R | Percent Difference |
|---|---|---|---|---|---|---|---|---|---|---|
| 3 × 32 | 5 × 5 ×5 | 0.1 | 1 | 1 | 1 | PReLU | 0.6757 | 0.6305 | 1.3062 | -4.68 |
| 4 × 32 | 5 × 5 × 5 | 0.1 | 1 | 1 | 1 | PReLU | 0.7052 | 0.6651 | 1.3703 | 0 |
| 5 × 32 | 5 × 5 × 5 | 0.1 | 1 | 1 | 1 | PReLU | 0.6831 | 0.6272 | 1.3103 | -4.38 |
| 4 × 32 | 5 × 5 × 5 | 0 | 1 | 1 | 1 | PReLU | 0.6884 | 0.6236 | 1.3120 | -4.25 |
| 4 × 32 | 5 × 5 × 5 | 0.2 | 1 | 1 | 1 | PReLU | 0.7014 | 0.6634 | 1.3648 | -0.40 |
| 4 × 32 | 5 × 5 × 5 | 0.3 | 1 | 1 | 1 | PReLU | 0.7006 | 0.6519 | 1.3525 | -1.30 |
| 4 × 32 | 3 × 3 × 3 | 0.1 | 1 | 1 | 1 | PReLU | 0.6867 | 0.6361 | 1.3228 | -3.47 |
| 4 × 32 | 5 × 5 × 5 | 0.1 | 1 | 1 | 1 | LReLU | 0.6911 | 0.6458 | 1.3369 | -2.44 |
| 4 × 32 | 5 × 5 × 5 | 0.1 | 1 | 1 | 1 | ReLU | 0.6882 | 0.6012 | 1.2894 | -5.90 |
| 4×32 | 5×5×5 | 0.1 | / | 1 | 1 | PReLU | 0.6819 | 0.6276 | 1.3095 | -4.44 |
| 4×32 | 5×5×5 | 0.1 | 1 | / | 1 | PReLU | 0.6879 | 0.6400 | 1.3279 | -3.09 |
| 4×32 | 5×5×5 | 0.1 | 1 | 1 | / | PReLU | 0.6877 | 0.6085 | 1.2962 | -5.41 |
The bold values indicates the optimal configurations.