Diagnosing COVID-19 in X-ray Images Using HOG Image Feature and Artificial Intelligence Classifiers

Abstract

The novel coronavirus (COVID-19) pandemic is spreading across the globe at an alarming rate causing more infections and deaths in comparison to SARS or MERS. In the absence of specific vaccines for theCOVID-19, the early diagnosis of COVID-19 disease is crucial for disease treatment and control. Recent researches have shown that Medical Radiology imaging may be a more reliable, practical, and rapid method to diagnose and assess COVID-19 in comparison to the official laboratory RT-PCR tests, especially with the lack of medical professionals. In this article, we investigate the aid of Artificial Intelligence and Data Mining techniques to automate the task of diagnosing COVID-19 from Chest X-Rays medical images. The results obtained are promising and are better than previous results published earlier.