ABSTRACT
Providing the essential medical resources for COVID-19 diagnosis is a challenge on a worldwide scale. They should be cutting-edge tools that can rapidly identify and analyze the virus using a sequence of tests, and it should also be reasonably priced. A chest X-ray scan is an excellent screening tool, but if several exams are taken, the images produced by the devices must be reviewed swiftly and accurately. Predicting the progression of COVID-19-induced longitudinal lung parenchymal ground glass and the resulting consolidation of pulmonary opacity is highly challenging. Sometimes, COVID-19 will cause pulmonary opacity to consolidate, giving it a rounded appearance and a distribution on the periphery of the lungs. This study introduces the Xception model for predicting COVID-19 in chest x-rays. Chest x-rays may predict the presence of Covid-19 with an accuracy of around 97.83%. © 2022 IEEE