Predicting Colorectal Cancer Using Residual Deep Learning with Nursing Care

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Efficiency metrics</td><td class="align_center">Efficiency</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Accuracy</td><td class="align_center">0.9924</td></tr><tr><td class="align_left">Avg. precision</td><td class="align_center">0.9926</td></tr><tr><td class="align_left">Avg. recall</td><td class="align_center">0.9923</td></tr><tr><td class="align_left">Avg. F1-measure</td><td class="align_center">0.9924</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>ResNet DLS training efficiency.</div>

Contrast Media & Molecular Imaging

tab1

Table 1

Table 1: Predicting Colorectal Cancer Using Residual Deep Learning with Nursing Care 