COVID-19 Diagnosis Using an Enhanced Inception-ResNetV2 Deep Learning Model in CXR Images

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">CPU model name</td><td class="align_center">Intel (R) Xeon (R) CPU @ 2.30 GHz</td></tr><tr><td class="align_left">CPU cores</td><td class="align_center">16</td></tr><tr><td class="align_left">RAM</td><td class="align_center">13 gigabytes</td></tr><tr><td class="align_left">GPU card</td><td class="align_center">NVIDIA Quadro K6000 16 GB</td></tr><tr><td class="align_left">Operating system (OS)</td><td class="align_center">Linux 0e22a0d3b32a 4.9.0-5-amd 64 #1</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Journal of Healthcare Engineering

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Table 4

Table 4: COVID-19 Diagnosis Using an Enhanced Inception-ResNetV2 Deep Learning Model in CXR Images 