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COVID-19 Detection Using Chest X-Ray Images Based on Deep Learning

COVID-19 Detection Using Chest X-Ray Images Based on Deep Learning

Sudeshna Sani, Abhijit Bera, Dipra Mitra, Kalyani Maity Das
Copyright: © 2022 |Volume: 14 |Issue: 1 |Pages: 12
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781683181019|DOI: 10.4018/IJSSCI.312556
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MLA

Sani, Sudeshna, et al. "COVID-19 Detection Using Chest X-Ray Images Based on Deep Learning." IJSSCI vol.14, no.1 2022: pp.1-12. http://doi.org/10.4018/IJSSCI.312556

APA

Sani, S., Bera, A., Mitra, D., & Das, K. M. (2022). COVID-19 Detection Using Chest X-Ray Images Based on Deep Learning. International Journal of Software Science and Computational Intelligence (IJSSCI), 14(1), 1-12. http://doi.org/10.4018/IJSSCI.312556

Chicago

Sani, Sudeshna, et al. "COVID-19 Detection Using Chest X-Ray Images Based on Deep Learning," International Journal of Software Science and Computational Intelligence (IJSSCI) 14, no.1: 1-12. http://doi.org/10.4018/IJSSCI.312556

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Abstract

Global public health will be severely impacted by the successive waves of emerging COVID-19 disease. Since 2019 people get sick and die in our daily lives placing a massive burden on our health system. One of the crucial factors that has led to the virus's fast spread is a protracted clinical testing gap before discovering of a positive or negative result. A detection system based on deep learning was developed by using chest X-ray(CXR) images of Covid19 patient and healthy people. In this regard the Convolution Neural Network along with other DNNs have been proved to produce good results. To improve the COVID-19 detection accuracy, we developed model using the deep learning(CNN) approach where we observed an accuracy of 96%. We validated the accuracy by using same dataset through a pretrained VGG16 model and an LSTM model which produced excellent reliable results. Our aim of this research is to implement a reliable Deep Learning model to detect presence of Covid-19 in case of limited availability of chest-Xray images.

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