Open Access

ARTICLE

COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in Chest X-ray Images

A. S. Al-Waisy¹, Mazin Abed Mohammed¹, Shumoos Al-Fahdawi¹, M. S. Maashi², Begonya Garcia-Zapirain³, Karrar Hameed Abdulkareem⁴, S. A. Mostafa⁵, Nallapaneni Manoj Kumar⁶, Dac-Nhuong Le^7,8,*

1 College of Computer Science and Information Technology, University of Anbar, Anbar, 31001, Iraq
2 College of Computer and Information Sciences, King Saud University, Riyadh, 11451, Saudi Arabia
3 eVIDA Lab, University of Deusto. Avda/Universidades, Bilbao, 24.48007, Spain
4 College of Agriculture, Al-Muthanna University, Samawah, 66001, Iraq
5 Faculty of Computer Science and Information Technology, University Tun Hussein Onn Malaysia, Johor, 86400, Malaysia
6 School of Energy and Environment, City University of Hong Kong, Kowloon, 83, Hong Kong
7 Institute of Research and Development, Duy Tan University, Danang, 550000, Vietnam
8 Faculty of Information Technology, Duy Tan University, Danang, 550000, Vietnam

* Corresponding Author: Dac-Nhuong Le. Email: