Table 1.
Registration accuracy of USENet, GLUE and ReUSENet. The mean TRE is calculated in pixels for all cases (8 landmark pairs per cases) from the in vivo testing dataset.
| Case | Initial | USENet | GLUE | ReUSENet |
|---|---|---|---|---|
| 1 | 6.98 | 5.02 | 4.05 | 3.29 |
| 2 | 6.48 | 4.08 | 3.12 | 2.57 |
| 3 | 10.00 | 4.21 | 3.05 | 1.05 |
| 4 | 8.62 | 4.15 | 4.42 | 2.48 |
| 5 | 3.22 | 4.82 | 2.91 | 3.44 |
| 6 | 7.65 | 3.09 | 3.07 | 2.18 |
| 7 | 3.92 | 3.50 | 3.33 | 4.03 |
| 8 | 9.91 | 5.05 | 4.91 | 2.61 |
| 9 | 9.17 | 4.62 | 3.64 | 3.92 |
| 10 | 7.50 | 3.39 | 3.24 | 2.80 |
| 11 | 8.80 | 3.89 | 2.83 | 1.77 |
| 12 | 9.90 | 4.88 | 3.61 | 3.55 |
| 13 | 8.18 | 2.58 | 2.32 | 2.35 |
| 14 | 6.83 | 4.64 | 4.68 | 3.62 |
| 15 | 8.00 | 2.62 | 4.24 | 1.20 |
| 16 | 10.45 | 9.16 | 9.00 | 7.45 |
| 17 | 4.05 | 2.59 | 2.28 | 2.32 |
| 18 | 5.58 | 2.15 | 2.66 | 1.85 |
| 19 | 5.92 | 2.49 | 3.57 | 2.37 |
| 20 | 18.06 | 10.40 | 5.12 | 2.94 |
| Mean | 7.96 | 4.37 | 3.80 | 2.87 |
| Stddev | 3.09 | 2.03 | 1.44 | 1.31 |