Classification of Covid-19 from Chest X-ray images using Deep Convolutional Neural Network

Abstract

Corona virus disease (COVID-19) is an infectious disease caused by the SARSCoV2 virus. It has devastating effects on the health and well-being of global population. People suspected of having COVID-19 to be known quickly if they are infected, so they can receive appropriate treatment. One of the important steps to stop the contamination of virus is by timely screening. This study aims in quick and precise detection of virus to maximize the accuracy in the detection of COVID- 19 which can be done by digital chest X-ray images using the approach of Deep Convolutional Neural Networks (DCNN). In this project, DCNN based model Inception V3, Resnet along with Machine learning algorithms have been proposed for the detection of Corona virus pneumonia infected patients using chest X-ray radiography. Data augmentation is carried out as part of data pre-processing. It is far believed that this screening technique is going to help doctors in the field of medicine in making early & accurate decisions. The implementation will be in Python.