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  1. Home
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  5. A Review: Deep Learning Classification Performance of Normal and COVID-19 Chest X-ray Images
 
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A Review: Deep Learning Classification Performance of Normal and COVID-19 Chest X-ray Images

Journal
Journal of Physics: Conference Series
ISSN
17426588
Date Issued
2021-11-25
Author(s)
Marni Azira Markom
Universiti Malaysia Perlis
Taha S.M.
Abdul Hamid Adom
Universiti Malaysia Perlis
Abdul Syafiq Abdull Sukor
Universiti Malaysia Perlis
Aimi Salihah Abdul Nasir
Universiti Malaysia Perlis
Haniza Yazid
Universiti Malaysia Perlis
Erdy Sulino Mohd Muslim Tan
Universiti Malaysia Perlis
Arni Munira Markom
Universiti Malaysia Perlis
DOI
10.1088/1742-6596/2071/1/012003
Handle (URI)
https://hdl.handle.net/20.500.14170/8207
Abstract
COVID19 chest X-ray has been used as supplementary tools to support COVID19 severity level diagnosis. However, there are challenges that required to face by researchers around the world in order to implement these chest X-ray samples to be very helpful to detect the disease. Here, this paper presents a review of COVID19 chest X-ray classification using deep learning approach. This study is conducted to discuss the source of images and deep learning models as well as its performances. At the end of this paper, the challenges and future work on COVID19 chest X-ray are discussed and proposed.
File(s)
Research repository notification.pdf (4.4 MB) research repository notification.pdf (4.4 MB)
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Nov 14, 2025
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