Covid-19 detection by x-ray images and deep learning

The coronavirus, which appeared in China in 2019, has become an epidemic. Global health has affected the economy and the daily lives of individuals. Therefore, it is important in this case that the diagnosis of this disease is made immediately and that all efforts cooperate to provide a fast and accurate method at the same time to limit the exacerbation and spread of the epidemic. X-rays are important in these cases of the covid disease. In our time, artificial intelligence provides important and very useful techniques for solving complex and large problems that need accuracy that a person may not be able to provide it. In our study, we have proposed new parallel convolutional neural networks to be able to detect patients with this disease and also provide a method for determining whether our network is working efficiently or not. We used about 500 pictures as a positive covid entry .1,600 as a negative covid entry, most of which were pictures of pneumonia. our solution achieved 90% accuracy and 88% classification accuracy in the test setup.