Automatic Discoid Lateral Meniscus Diagnosis from Radiographs Based on Image Processing Tools and Machine Learning

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Control group (<i>N</i> = 90), mean ± SD (95% CI)</td><td class="align_center">Discoid group (<i>N</i> = 70), mean ± SD (95% CI)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Manual measurement</td><td class="align_center">0.7 ± 0.2</td><td class="align_center">1.1 ± 0.2</td></tr><tr><td class="align_left">Automating measurement</td><td class="align_center">0.7 ± 0.2</td><td class="align_center">1.0 ± 0.3</td></tr><tr><td class="align_left"><svg height="8.68572pt" id="M8" style="vertical-align:-0.0498209pt" version="1.1" viewbox="-0.0498162 -8.6359 8.15071 8.68572" width="8.15071pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M600 480C600 590 528 650 384 650H143L137 622C222 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<div>Mean, range, and standard deviations (SD) of LJSD/HLTS.</div>

Journal of Healthcare Engineering

tab2

Table 2

Table 2: Automatic Discoid Lateral Meniscus Diagnosis from Radiographs Based on Image Processing Tools and Machine Learning 