Analysis On Classification of Coronavirus Disease 19 From Radiography Medical Images (Computed Tomography & X-Rays) With Deep Learning

The CORONAVIRUS DISEASE-19 pandemic caused large number of deaths. many people are getting infected by this virus day by day. finding of CORONAVIRUS DISEASE-19 includes mainly two categories, Conventional RT-PCR tests and by using medical image analysis such as X-Ray and Computed tomography (CT). As the time and cost required for conventional RT-PCR examinations to perceive CORONAVIRUS DISEASE-19 is more, health imaging such as (CXR) Chest X-Rays and (CT) Computed tomography acts an important part. This study shows that review the diagnosis of CORONAVIRUS DISEASE-19 using torso X-Ray, CT images with Deep learning techniques. Here the research papers are selected from various sources using the terms "Deep learning", "Convolutional neural networks", "CORONAVIRUS DISEASE-19", chest X-Ray, and Chest -CT" etc. more than 100+ studies are available and 20 research paper amid them were carefully chosen for this evaluation in terms of Chest X-Ray and CT Images. We categorized the studies into cataloguing with Chest X-Rays pictures and another with CT Images. We observed the categories present in the dataset are divided into Coronavirus disease19, Normal, and other Pneumonia, the results found in the review papers are promising and were presented as 100% Accuracy. However, the results obtained should be carefully analyze with different points of aspects.