No abstract

CoronaVirus cases have reached 55.6 million (as of 19 th Nov 2020) out of which about 9 million cases are in India alone. Out of these 55.6 million people, nearly 1.34 million people have unfortunately lost their life which is about 3 % of the total cases. The disease has become quite a risky infection that has spread quickly across the world and has been announced as a Pandemic by the World Health Organization (WHO). As the greater part of the Covid patients show respiratory manifestations (basically Pneumonia), Chest X-Ray Images can turn into an elective answer to help analyze COVID-19 positive patients from suspected partners. Anyway because of the unexpected episode of the COVID-19 pandemic, radiologists are currently confronting extraordinary weight in analyzing gigantic amounts of X-Ray Images. Other than being tedious and careful, the assessment cycle can become blunder inclined thinking about the huge measure of picture information and the outstanding task at hand. This article focuses on an examination of various procedures identified with the discovery of Coronavirus or pneumonia disease from the X-Ray Images or CT-S can pictures. It additionally gives an investigation and examination of move learning calculations that were utilized to execute these Coronavirus identification methods.