Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning

<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" rowspan="2">Item</td><td class="align_center" colspan="2">Loading coefficient</td><td class="align_center" rowspan="2">Communality (common factor variance)</td></tr><tr class="thead"><td class="align_center">Principal component 1</td><td class="align_center">Principal component 2</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Adjacent line length</td><td class="align_center"><b>0.705</b></td><td class="align_center">-0.100</td><td class="align_center">0.507</td></tr><tr><td class="align_left">Adjacent surface area</td><td class="align_center"><b>0.719</b></td><td class="align_center">-0.134</td><td class="align_center">0.535</td></tr><tr><td class="align_left">Buccal abduction gap angle</td><td class="align_center">-0.158</td><td class="align_center"><b>0.909</b></td><td class="align_center">0.851</td></tr><tr><td class="align_left">Occlusal abduction gap angle</td><td class="align_center"><b>-0.657</b></td><td class="align_center"><b>-0.472</b></td><td class="align_center">0.654</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr><tr class="table-fn"><td><div>Note: the numbers in the table are overstriking: bold means the absolute loading factor coefficient is greater than 0.4; otherwise is less than 0.4.<br/></div></td></tr></table>

<div>Principal component analysis of impaction and nonimpaction (adjusted).</div>

Computational and Mathematical Methods in Medicine

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Table 5

Table 5: Research on the Characteristics of Food Impaction with Tight Proximal Contacts Based on Deep Learning 