Covid-19 Sleuthing using Pulmonary Radiography through CNN

Novel Coronavirus is an infectious disease, whose outbreak has brought human life to a standstill. This virus has surged throughout the planet, affecting oodles of lives. In order to test an infected patient, throat swabs are collected and diagnosed with the help of RT-PCR testing kits, risking the lives of healthcare workers and the people coming in contact with the infected. The brisk upsurge in the quantum of positive cases with new variants emerging worldwide, it has become a serious concern to come up with an alternative detection of the virus. This paper aims to specifically discuss the deep learning techniques and different Convolution Neural Networks using medical modalities such as chest X-rays for the detection of the virus by training the pre- trained models. The different models are compared and different parameters are evaluated.