Table 2.
Quantitative comparison between our method and other methods.
| Random forest 60 | Modality propagation | Multilayer perceptron | U-Net | Our method | |
|---|---|---|---|---|---|
| (a) MSE (SD) | |||||
| Fold 1 | 993.68 (67.21) | 2194.79 (118.73) | 1532.89 (135.82) | 921.69 (38.51) | 905.05 (26.06) |
| Fold 2 | 1056.76 (125.51) | 2037.69 (151.23) | 1236.53 (100.95) | 912.03 (38.58) | 913.34 (39.95) |
| Fold 3 | 945.38 (59.42) | 1987.32 (156.11) | 1169.78 (142.43) | 916.16 (38.97) | 898.76 (46.90) |
| Fold 4 | 932.67 (74.48) | 2273.58 (217.85) | 1023.35 (97.93) | 938.34 (52.54) | 945.33 (63.80) |
| Fold 5 | 987.63 (78.34) | 1934.25 (140.06) | 1403.57 (146.35) | 908.11 (36.13) | 927.88 (31.80) |
| Average | 983.22 (80.99) | 2085.53 (156.80) | 1273.22 (124.70) | 919.26 (40.95) | 918.07 (41.70) |
| (b) SSIM (SD) | |||||
| Fold 1 | 0.814 (0.044) | 0.727 (0.044) | 0.770 (0.052) | 0.847 (0.038) | 0.868 (0.036) |
| Fold 2 | 0.822 (0.038) | 0.718 (0.045) | 0.773 (0.045) | 0.856(0.025) | 0.854 (0.028) |
| Fold 3 | 0.832 (0.040) | 0.713 (0.047) | 0.790 (0.044) | 0.854 (0.036) | 0.880 (0.031) |
| Fold 4 | 0.850 (0.032) | 0.708 (0.049) | 0.786 (0.044) | 0.853 (0.031) | 0.846 (0.035) |
| Fold 5 | 0.830 (0.041) | 0.723 (0.039) | 0.781 (0.047) | 0.861 (0.034) | 0.850 (0.027) |
| Average | 0.830 (0.039) | 0.718 (0.045) | 0.780 (0.046) | 0.854 (0.033) | 0.860 (0.031) |
The best results are indicated in boldface.