COVID-19 and SARS Virus Predictions from Chest X-ray Images Using a Deep Learning Model

The COVID-19, novel coronavirus, is a pandemic and contaminated disease and it is aggressively increasing day by day from the first occurrence. Till now, within three months, a total of more than twenty lacks people affected with viruses, and over 50 thousand people have died. The virus is mainly attacking the respiratory system of the human body. The cases were increasing exponentially from day by day. And the diagnostic test of COVID-19 is to detect the presence of viral proteins in a sample from a person’s respiratory tract. But this process of testing is taking more time, and it is cost effective. For the prediction of COVID-19, we proposed a deep learning-based convolution neural network model using a chest X-ray of humans. The CNN model is trained on the dataset of COVID-19 X-ray and normal human X-ray; so it will able to identify the density of pneumonia in the human body to detect the COVID-19 virus.