Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains

Table 12

The comparison of the proposed approach along with the state-of-the-art methods on the X-ray dataset (unit: %).

State of the art	Weighted average recognition rates	Standard deviation
[28]	89.6	±2.9
[30]	83.5	±3.7
[41]	80.3	±2.6
[42]	85.4	±1.2
[43]	79.8	±3.8
[44]	89.3	±2.3
[45]	91.5	±1.9
[46]	90.5	±2.7
Proposed model	94.0	±3.5