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

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">[<a href="/journals/jhe/2018/1797502/#B24" target="_blank">24</a>]</td><td class="align_center">[<a href="/journals/jhe/2018/1797502/#B26" target="_blank">26</a>]</td><td class="align_center">[<a href="/journals/jhe/2018/1797502/#B29" target="_blank">29</a>]</td><td class="align_center">Ours</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">MRE (pixels)</td><td class="align_center">16.74</td><td class="align_center">18.46</td><td class="align_center">17.79</td><td class="align_center">16.92</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of our method with three methods in term of MRE using Test1Dtata.</div>

Journal of Healthcare Engineering

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Table 5

Table 5: Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting 