Table 8.
Performance of our method with different numbers of the input slices based on the Stanford dataset.
| Number of input slices |
NMSE (× 10−3) ↓ | PSNR ↑ | SSIM (× 10−2) ↑ | Train times | Test time (each case) |
|||
|---|---|---|---|---|---|---|---|---|
| Mean±std | p-value | Mean±std | p-value | Mean±std | p-value | |||
| 11.55±0.01 | - | 35.45±1.81 | - | 92.15±0.03 | - | ~44 hours | ~49 ms | |
| 11.11±0.01 | 7.4e-63 | 35.55±1.86 | 2.1e-53 | 92.25±0.03 | 6.3e-30 | ~50 hours | ~50 ms | |
| 10.94±0.00 | 1.3e-64 | 35.57±1.84 | 5.1e-61 | 92.30±0.03 | 2.2e-42 | ~57 hours | ~58 ms | |
| 10.76±0.00 | 2.0e-66 | 35.61±1.84 | 1.1e-61 | 92.35±0.03 | 8.8e-45 | ~65 hours | ~62 ms | |
| 10.65±0.00 | 1.1e-65 | 35.64±1.84 | 1.2e-61 | 92.40±0.03 | 2.4e-45 | ~74 hours | ~65 ms | |
| 11 | 10.64±0.00 | 2.9e-66 | 35.64±1.84 | 1.1e-61 | 92.45±0.03 | 9.7e-46 | ~84 hours | ~70 ms |