Covid-19 Detection Using Advanced CNN and X-rays

Behera, Basudeba; Kumar, Nitish; Mahato, Mukesh Ranjan; Kumar, Ajay

As the Covid-19 pandemic surfaced worldwide, various newer technologies came ahead to help humanity to survive and live a better life. While medical science worked on vaccine development, Artificial intelligence and advanced computing helped in segregating millions of drugs to counter this novel coronavirus disease. Deep learning also came up with an alternative detection model. In this work, we present the detection method with computer vision using advanced CNN (Convolutional Neural Network) and architecture used is VGGNet. Since the virus is a new variant of the coronavirus also named as SARS-2 (Severe Acute Respiratory Syndrome Coronavirus 2) by WHO (World Health Organization), requires a different technique for testing and detection. The detection procedure used to take too much time to confirm the infection. The techniques utilized to this point of time is limited and which creates an impossible type of situation to test a huge crowd of the population like India. So, it’s high time to come up with an alternative system for the Covid-19 Tests. Hence this paper came up with detection and partial confirmation of Covid-19 using X-ray images by applying a deep learning Algorithm. By enhancing the images and classifying the features we can easily differentiate between Covid-19 affected people and Normal people X-ray images of the chest. This pandemic highly affects our lungs, X-ray images may be one of the viable options.