Table 3.
Target Registration Error (TRE) values for different deep learning-based methods on DIRLAB datasets, bold values demonstrate cases where FineNet was performed twice
| Set | Before registration | Deep learning-based methods | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Eppenhof et al.27 | De Vos et al.25 | Sentker et al.26 | Fechter et al.34 | Sokooti et al.33 | Jiang et al.36 | LungRegNet-v3 | |||
| 1 | 3.89±2.78 | 1.45±1.06 | 1.27±1.16 | 1.20±0.60 | 1.21±0.88 | 1.13±0.51 | 1.20±0.63 | 0.98±0.54 | |
| 2 | 4.34±3.90 | 1.46±0.76 | 1.20±1.12 | 1.19±0.63 | 1.13±0.65 | 1.08±0.55 | 1.13±0.56 | 0.98±0.52 | |
| 3 | 6.94±4.05 | 1.57±1.10 | 1.48±1.26 | 1.67±0.90 | 1.32±0.82 | 1.33±0.73 | 1.30±0.70 | 1.14±0.64 | |
| 4 | 9.83±4.86 | 1.95±1.32 | 2.09±1.93 | 2.53±2.01 | 1.84±1.76 | 1.57±0.99 | 1.55±0.96 | 1.39±0.99 | |
| 5 | 7.48±5.51 | 2.07±1.59 | 1.95±2.10 | 2.06±1.56 | 1.80±1.60 | 1.62±1.30 | 1.72±1.28 | 1.43±1.31 | |
| 6 | 10.89±6.9 | 3.04±2.73 | 5.16±7.09 | 2.90±1.70 | 2.30±3.78 | 2.75±2.91 | 2.02±1.70 | 2.26±2.93 | |
| 7 | 11.03±7.4 | 3.41±2.75 | 3.05±3.01 | 3.60±2.99 | 1.91±1.65 | 2.34±2.32 | 1.70±1.03 | 1.42±1.16 | |
| 8 | 15.0±9.01 | 2.80±2.46 | 6.48±5.37 | 5.29±5.52 | 3.47±5.00 | 3.29±4.32 | 2.64±2.78 | 3.13±3.77 | |
| 9 | 7.92±3.98 | 2.18±1.24 | 2.10±1.66 | 2.38±1.46 | 1.47±0.85 | 1.86±1.47 | 1.51±0.94 | 1.27±0.94 | |
| 10 | 7.3±6.35 | 1.83±1.36 | 2.09±2.24 | 2.13±1.88 | 1.79±2.24 | 1.63±1.29 | 1.79±1.61 | 1.93±3.06 | |
| Mean | 8.46±5.48 | 2.17±1.89 | 2.64±4.32 | 2.50±1.16 | 1.83±2.35 | 1.86±2.12 | 1.66±1.44 | 1.59±1.58 | |