Recognition Corona Virus Disease COVID19 using Deep Learning Network

Ashwan Anwer Abdulmunem, Zinah Abdulridha Abutiheen, Hiba Aleqabie


Corona virus disease COVID19 has an incredible influence in the last few months. It causes thousands of deaths in round the world. This make a rapid research movement to deal with this new virus. As a computer science many technical researches have been done to tackle with it by using image processing algorithms. In this work, we introduce a method based on deep learning networks to classify COVID19 based on x-ray images. Our results are encouraging to rely on to classify the infected people from the normal. We conduct our experiments on recent dataset, Kaggle dataset of COVID19 X-ray images and using ResNet50 deep learning network with 5 and 10 folds cross validation. The experiments results show that 5 folds gives effective results than 10 folds with accuracy rate 0.9728%.


Corona Virus Disease; COVID19,; X-ray lung images ; Classification; Deep Learning


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ISSN 2088-8708, e-ISSN 2722-2578