Research Article

Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting

Table 4

The experimental results of 19 landmark detection in Test1Data.

LandmarkMRE (mm)SD (mm)SDR (%)
2.0 mm2.5 mm3.0 mm4.0 mm

L11.311.2686.67%92.67%94.67%97.33%
L21.922.0568.00%72.00%79.33%88.67%
L31.811.7466.67%81.33%88.00%95.33%
L43.112.5950.00%54.00%59.33%67.33%
L52.241.5656.00%66.00%75.33%86.67%
L61.591.3972.00%78.67%84.00%94.00%
L71.230.8780.67%91.33%96.67%99.33%
L81.080.8888.67%95.33%96.67%98.67%
L90.870.7591.33%93.33%98.00%99.33%
L103.982.3323.33%29.33%38.00%53.33%
L110.970.8987.33%92.00%96.00%98.67%
L120.901.7094.67%94.67%96.00%96.67%
L131.020.7192.00%95.33%98.00%100.00%
L140.890.6193.33%98.67%100.00%100.00%
L151.181.1685.33%92.00%93.33%98.00%
L162.141.4850.00%60.67%72.67%90.67%
L171.160.8586.00%92.67%94.67%98.67%
L181.771.5172.00%79.33%86.00%92.67%
L192.972.7750.00%54.00%58.00%67.33%
Average1.691.4373.37%79.65%84.46%90.67%