An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19

Author:

Serena Low Woan Ching1ORCID,Chuah Joon Huang1ORCID,Tee Clarence Augustine T. H.1ORCID,Anis Shazia2ORCID,Shoaib Muhammad Ali1ORCID,Faisal Amir3ORCID,Khalil Azira4ORCID,Lai Khin Wee2ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 40603 Kuala Lumpur, Malaysia

2. Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 40603 Kuala Lumpur, Malaysia

3. Department of Biomedical Engineering, Faculty of Production and Industrial Technology, Institut Teknologi Sumatera, Lampung 35365, Indonesia

4. Faculty of Science and Technology, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

Abstract

Pneumonia is an infamous life-threatening lung bacterial or viral infection. The latest viral infection endangering the lives of many people worldwide is the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19. This paper is aimed at detecting and differentiating viral pneumonia and COVID-19 disease using digital X-ray images. The current practices include tedious conventional processes that solely rely on the radiologist or medical consultant’s technical expertise that are limited, time-consuming, inefficient, and outdated. The implementation is easily prone to human errors of being misdiagnosed. The development of deep learning and technology improvement allows medical scientists and researchers to venture into various neural networks and algorithms to develop applications, tools, and instruments that can further support medical radiologists. This paper presents an overview of deep learning techniques made in the chest radiography on COVID-19 and pneumonia cases.

Funder

Universiti Malaya

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

Reference102 articles.

1. Worldmeter;American Library Association

2. Coronavirus disease 2019 (COVID-19);Centers for Disease Control and Prevention

3. How is COVID-19 pneumonia different from regular pneumonia?;Healthline

4. Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray

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