Abstract
Abstract: In the present scenario, a novel virus called COVID-19 is one of the substantial snags to the humans in this contemporary era. The present pace at which the virus is spreading has led to a significant spike in death rates across the globe, including in all countries and towns. In order to treat the ailment, one must therefore come up with a quick and accurate diagnosis. Deep learning has made a significant contribution to medical research, opening up new paths and opportunities for disease diagnosis methods. To counteract the COVID-19 outbreak, here we create a classifier distinguishing between positive and negative COVID scans. This study suggests a technique that utilizes chest X-ray images to first classify a patient into one of the bacterial or viral classifications, then further subclassifies them into one of the COVID-19 classes (Positive-1 & Negative-0).
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