Ukwuoma, Chiagoziem C.
Cai, Dongsheng https://orcid.org/0000-0002-6862-7243
Heyat, Md Belal Bin
Bamisile, Olusola
Adun, Humphrey https://orcid.org/0000-0002-8593-814X
Al-Huda, Zaid https://orcid.org/0000-0002-8920-7635
Al-antari, Mugahed A.
Funding for this research was provided by:
National Research Foundation of Korea
Ministry of Science, ICT and Future Planning (RS-2022-00166402)
This article is maintained by: Elsevier
Article Title: Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
Journal Title: Journal of King Saud University - Computer and Information Sciences
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jksuci.2023.101596
Content Type: article
Copyright: © 2023 The Author(s). Published by Elsevier B.V. on behalf of King Saud University.