Deep learning based hybrid Coronavirus (covid-19) classification using ct images and x-ray images

The pandemic of COVID19 is the greatest issue of our time, defining and transforming many parts of our lives, including education, since 2019 until today.COVID-19 occurred at the end of 2019 in Wuhan region of China. The numbers of cases and deaths have increased on a daily basis on the scale of a global pandemic. In the second week of March 2020, the World Health Organization (WHO) classified the coronavirus outbreak an pandemic. Chest X-ray and CT images have been used for monitoring various lung diseases for that reason we can use them to monitor the COVID-19 disease. In this work we have implemented a model using convolutional neural networks (CNN) and ResNet and effiecientnet. Synchronous COVID-19 detection and classification based on full use of these techniques X-ray and CT images. We have trained our model with a dataset Overall, our model has achieved 96% and 98%accuracy in Chest X-ray images and with chest CT images respectively. COVID19 can be distinguished from other disorders using our suggested approach. The proposed deep learning model appears to be a trustworthy tool for assisting health care systems, patients, and clinicians in the real world.