Abstract
Abstract: The spike in the number of patients with COVID-19, a respiratory virus, has put an unprecedented load over healthcare systems across the world. The early and automatic diagnosis of COVID-19 may be beneficial for countries for timely referral of patients to quarantine, rapid intubation of serious cases in specialized hospitals, and monitoring of the spread of the disease. In this work, we propose the use of chest X-Ray to detect COVID-19 infection in patients by studying the medical images and identifying possible patterns that may lead to the automatic diagnosis of the disease. This work's main contribution is proposing a deep neural network-based model for highly accurate detection of COVID-19 infection from chest X-ray images.
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