Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Variable</td><td class="align_center">Observer (expert)</td><td class="align_center">Observer (novice)</td><td class="align_center">MBR (proposed method)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Cobb’s angle</td><td class="align_center">−0.703 ± 12.552 (−19.8 to 18.4)</td><td class="align_center">−0.106 ± 13.582(−21.8 to 22.4)</td><td class="align_center">−0.694 ± 12.091(−20.1 to 18.1)</td></tr><tr><td class="align_left">Intrareliability (ICC)</td><td class="align_center">0.936 (expert-novice)</td><td class="align_center">0.9710 (expert-MBR)</td><td class="align_center">0.940 (novice-MBR)</td></tr><tr><td class="align_left">Pearson correlation coefficient</td><td class="align_center">0.944 (expert-novice)</td><td class="align_center">0.971 (expert-MBR)</td><td class="align_center">0.948 (novice-MBR)</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr><tr class="table-fn"><td><div>Data are presented as mean ± standard deviation with 95% confidence interval and compared using the one-way analysis of variance (ANOVA).<br/></div></td></tr></table>

<div>The statistical data of a MBR Cobb measurement.</div>

Computational and Mathematical Methods in Medicine

tab5

Table 5

Table 5: Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network 