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

• Published in: Journal of Physics: Conference Series
• Main Author: Markom M.A.; Taha S.M.; Adom A.H.; Sukor A.S.A.; Nasir A.S.A.; Yazid H.; Tan E.S.M.M.; Markom A.M.
• Format: Conference paper
• Language: English
• Published: IOP Publishing Ltd 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122017421&doi=10.1088%2f1742-6596%2f2071%2f1%2f012003&partnerID=40&md5=2caa70d2613acf7db3b4be276147745f

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. © 2021 Institute of Physics Publishing. All rights reserved.