| Home

Overview


Original Research

COVID-19 DETECTION FROM CHEST X-RAY IMAGES USING DEEP LEARNING

MOHAMMAD TAREK AZIZ 1, JUEL SIKDER 2, TAOHIDUR RAHMAN 3, ARMANDO DACALCAP DEL MUNDO 4, S.M FAHIM FAISAL 5, and NAYEEM UDDIN AHMED KHAN 6.

Vol 17, No 11 ( 2022 )   |  DOI: 10.5281/zenodo.7336566   |   Author Affiliation: Rangamati Science and Technology University, Lecturer of Computer Science and Engineering at Chittagong Institute of Engineering and Technology, Chittagong, Bangladesh 1; Assistant Professor, Department of Computer Science and Engineering, Rangamati Science and Technology University, Rangamati, Bangladesh 2; Rangamati Science and Technology University, Lecturer of Computer Science and Engineering at United College of Aviation, Science and Management, Dhaka, Bangladesh 3; Quality Assurance Officer, MIT/PhD-TM (CAR). 4; Lecturer, Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering and Technology (CUET) 5; Electrical and Electronics Engineering, University of Chittagong 6.   |   Licensing: CC 4.0   |   Pg no: 706-718   |   To cite: MOHAMMAD TAREK AZIZ, et al., (2022). COVID-19 DETECTION FROM CHEST X-RAY IMAGES USING DEEP LEARNING. 17(11), 706–718. https://doi.org/10.5281/zenodo.7336566   |   Published on: 17-11-2022

Abstract

At present, COVID-19 has become a severe threat to students, teachers, doctors, scientists, and governments all over the world. It is a single-stranded RNA virus with one of the enormous RNA genomes, and it is changing through mutation in every day. Sometimes this mutation results in a new variant. According to medical research of COVID-19 infected patients, these individuals are most commonly infected with a lung illness after coming into touch with the virus. So, find out COVID-19 from a chest X-ray image is an appropriate technique. But another issue arises when it shows that other diseases like viral pneumonia, and lung opacity also had common symptoms like as COVID-19 and these problems also can be detected from chest X-ray images. So, in this research, we proposed a deep learning approach based on modified VGG-16 for detecting COVID-19, viral pneumonia, lung-Opacity, and normal chest. We used the COVID-19 Radiography dataset to evaluate the performance of the proposed system. The accuracy of classification using the proposed method is 92.28%.


Keywords

COVID-19, Modified VGG-16, X-RAY, Viral Pneumonia, Lung-Opacity, Normal chest.