CNNCD screening model to distinguish covid-virus by using chest X-ray and transfer learning

Abstract

Coronavirus disease has been announced as a pandemic by World Health Organization and till this date 2,683,536 are lost their lives due to Covid-19. The one and only way to reduce the cases is Quarantine the patients that who are tested Covid-19 positive. Researchers have done Different kind of design deep learning models to screen the Covid-19 pandemic. They discovered different deep learning models to detect the Covid-19 using chest X-Rays most of the methods having less accuracy rate. In few models Overfitting problem increasing difficulties in most of the models. In this Article an automatic Covid-19 Screening model is developed to identify the Covid Detection, Pneumonia and Normal. Different learning techniques used separately to learn the model like CNN, VGG16 and ResNet. From those three models VGG-16 is giving better performance. © 2021 Karadeniz Technical University. All rights reserved.