International Journal of Nonlinear Analysis and Applications

Automatic detection lung infected COVID-19 disease using deep learning (Convolutional Neural Network)

Document Type : Research Paper

Authors

1 Department of Computer Science, Faculty of Computer Science and Maths, University of Kufa, Najaf, Iraq

2 University of Thi-Qar, 64001 Al-Nassiriya, Iraq

3 Education Directorate of Thi-Qar, Ministry of Education, Iraq

Abstract

In late 2019,  a virus appeared suddenly he claims Covid-19, which started in China and began to spread very widely around the world. And because of its effects, which are not limited to human life only, but rather in economic and social aspects, and because of the increase in daily injuries and significantly with the limited hospitals that cannot accommodate these large numbers, it is necessary to find an automatic and rapid detection method that limits the spread of the disease and its detection at an early stage in order to be treated more quickly. In this paper, deep learning was relied upon to create a CNN model to detect COVID-19 infected lungs using chest X-ray images. The base consists of a set of images taken of lungs infected with Covid-19 disease and normal lungs, as the CNN structure gave accuracy, Precision, Recall and F-Measure 100%.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 12, Issue 2
November 2021
Pages 921-929
  • Receive Date: 10 April 2021
  • Revise Date: 13 May 2021
  • Accept Date: 26 May 2021