Radiologists versus Deep Convolutional Neural Networks: A Comparative Study for Diagnosing COVID-19

<table class="table-group" id="tab4"><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">Number of testing images</td><td class="align_center">Accuracy</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Dataset 1 (ours)</td><td class="align_center">250</td><td class="align_center">97.8%</td></tr><tr><td class="align_left">Dataset 2</td><td class="align_center">600</td><td class="align_center">65.3%</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Testing DenseNet-201 on a new dataset.</div>

Computational and Mathematical Methods in Medicine

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Table 4

Table 4: Radiologists versus Deep Convolutional Neural Networks: A Comparative Study for Diagnosing COVID-19 