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All Journal Journal of ICT Research and Applications
Md. Anzir Hossain Rafath
Department of Computer Science and Engineering, University of South Asia, Amin Bazar, Savar, Dhaka 1348, Bangladesh
Computer Science & IT

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CNN Based Covid-19 Detection from Image Processing Mohammed Ashikur Rahman; Mohammad Rabiul Islam; Md. Anzir Hossain Rafath; Simron Mhejabin
Journal of ICT Research and Applications Vol. 17 No. 1 (2023)
Publisher : DRPM - ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2023.17.1.7

Abstract

Covid-19 is a respirational condition that looks much like pneumonia. It is highly contagious and has many variants with different symptoms. Covid-19 poses the challenge of discovering new testing and detection methods in biomedical science. X-ray images and CT scans provide high-quality and information-rich images. These images can be processed with a convolutional neural network (CNN) to detect diseases such as Covid-19 in the pulmonary system with high accuracy. Deep learning applied to X-ray images can help to develop methods to identify Covid-19 infection. Based on the research problem, this study defined the outcome as reducing the energy costs and expenses of detecting Covid-19 in X-ray images. Analysis of the results was done by comparing a CNN model with a DenseNet model, where the first achieved more accurate performance than the second.
Co-Authors Mohammad Rabiul Islam Mohammed Ashikur Rahman Simron Mhejabin