A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images

Rajeev Kumar Gupta, Nilesh Kunhare, Rajesh Kumar Pateriya, Nikhlesh Pathik

Source Title: International Journal of Healthcare Information Systems and Informatics (IJHISI)17(2)

ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781799878254|DOI: 10.4018/IJHISI.20220401.oa1

MLA

Gupta, Rajeev Kumar, et al. "A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images." IJHISI vol.17, no.2 2022: pp.1-27. http://doi.org/10.4018/IJHISI.20220401.oa1

APA

Gupta, R. K., Kunhare, N., Pateriya, R. K., & Pathik, N. (2022). A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images. International Journal of Healthcare Information Systems and Informatics (IJHISI), 17(2), 1-27. http://doi.org/10.4018/IJHISI.20220401.oa1

Chicago

Gupta, Rajeev Kumar, et al. "A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images," International Journal of Healthcare Information Systems and Informatics (IJHISI) 17, no.2: 1-27. http://doi.org/10.4018/IJHISI.20220401.oa1

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Abstract

The novel Covid-19 is one of the leading cause of death worldwide in the year 2020 and declared as a pandemic by world health organization (WHO). This virus affecting all countries across the world and 5 lakh people die as of June 2020 due to Covid-19. Due to the highly contagious nature, early detection of this virus plays a vital role to break Covid chain. Recent studies done by China says that chest CT and X-Ray image may be used as a preliminary test for Covid detection. Deep learning-based CNN model can use to detect Coronavirus automatically from the chest X-rays images. This paper proposed a transfer learning-based approach to detect Covid disease. Due to the less number of Covid chest images, we are using a pre-trained model to classify X-ray images into Covid and Normal class. This paper presents the comparative study of a various pre-trained model like VGGNet-19, ResNet50 and Inception_ResNet_V2. Experiment results show that Inception_ResNet_V2 gives the better result as compare to VGGNet and ResNet model with training and test accuracy of 99.26 and 94, respectively.