Research Article
Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting
Table 7
The statistical results of automatic cephalometric landmark detection in database2.
| No. of 5-fold | MRE (mm) | SD (mm) | SDR (%) | 2.0 mm | 2.5 mm | 3.0 mm | 4.0 mm |
| 1 | 1.72 | 1.35 | 72.49% | 81.32% | 87.04% | 93.37% | 2 | 1.72 | 1.38 | 71.38% | 79.94% | 85.63% | 92.73% | 3 | 1.66 | 1.32 | 74.31% | 82.06% | 87.44% | 93.37% | 4 | 1.77 | 1.36 | 69.67% | 78.96% | 85.32% | 92.93% | 5 | 1.68 | 1.54 | 72.53% | 80.88% | 86.87% | 92.96% | Average | 1.71 | 1.39 | 72.08% | 80.63% | 86.46% | 93.07% |
|
|