Deep Residual Convolutional Neural Network Based Detection of Covid-19 from Chest-X-Ray Images

Rohini, V.; Sobhana, M.; Smitha Chowdary, C.; Chinta, M.; Venna, D.

The Coronavirus or 2019-nCoV (COVID-19) is a contagious disease. This new strain outbreak pressuring the health community in the world because this virus not identified early and also spreading to a large number of countries and territories, here some of them are on the edge of failing to control the spread of this virus. This virus mostly affects the respiratory system. So, it is possible to diagnose the virus, infected in the respiratory system using CT scan and chest-x-ray imaging approaches. Chest-X-ray images are amply available and swift imaging time than CT scan. The coronavirus pneumonia infected chest-x-rays has taken as the input data. Convolutional Neural Network (CNN) pre-trained ResNet-50 model is the proposed method, and it uses cross-validation for analysis. However, this model is employed to get high performance with more accurate result. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.