Covid-19 Detection in X-Ray Images Using Convolutional Neural Network

Abstract

In the absence of a vaccine, timely and accurate COVID-19 coronavirus identification is essential for avoiding and managing the pandemic through immediate quarantine and medical treatment. The growing number of COVID-19 patients around the world, along with the limited number of available testing kits, makes detecting the condition difficult.Using current deep learning models, we analyze X-ray pictures and classify them as positive or negative for COVID-19 in this work (VGG19 and VGG16). The suggested method contains a preprocessing stage with data augmentation, which removes irrelevant information from the environment that could lead to biased findings following that, the classification model is trained using a transfer learning strategy using various location X-rays.