CNN Based Covid-19 Detection from Image Processing

CNN Based Covid-19 Detection from Image Processing

Covid-19detection; CNN; DenseNet;image processing; pneumonia detection

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 newtesting and detection methods in biomedical science. X-ray images and CTscansprovide high-qualityand information-richimages. These images can be processed with a convolutional neural network (CNN) to detectdiseases such as Covid-19 in the pulmonary systemwith high accuracy. Deep learning applied to X-ray images canhelp to develop methodsto identify Covid-19 infection. Based on the research problem, this study defined the outcome asreducing the energy costsand expensesof detecting Covid-19 in X-ray images. Analysis of the results was doneby comparinga CNN model with a DenseNet model, where the first achieved more accurate performance thanthe second

Mohammed Ashikur Rahman1,*, Mohammad Rabiul Islam2,Md. Anzir Hossain Rafath3& Simron Mhejabin1

https://journals.itb.ac.id/index.php/jictra/article/view/17542/6212

Department of Computer Science, University of Liberal Arts Bangladesh, 688, Beribadh Road, Mohammadpur, Dhaka-1207,Bangladesh

2023

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