Deep Learning Based Covid - 19 Detection System Using Chest X-Ray Images

ABSTRACT

Coronavirus, a lung infection disease 2019 (COVID-19), is a sickness that is happening because of a virus, which is now also known as SARS-CoV-2 (Acute Respiratory Syndrome Coronavirus-2 COVID) was initially found in the city of China, named Wuhan. WHO was reported about COVID-19 disease on December 31st, year 2019.On January 30th, 2020, the WHO declared this outbreak a health emergency on a global level. On March 11th, 2020, it was announced as a worldwide pandemic by the World Health Organization. Coronavirus can trigger a tract infection. It affects a human being's respiratory tract-both lower or upper or both. In this research, we have proposed a rapid detection system for noticing COVID 19 disease in its early stages by using images of radiography(chest). Our model differentiates between two types of images, standard (non-COVID) and COVID infected. Since the images used for the training part for COVID infection are limited, we have used the Data Augmentation technique. Data Augmentation is a phenomenon that expands the dimensions of a dataset by producing altered versions of these images. This approach has proved to increase the efficiency of the model. © 2021 IEEE.