Retraction Note: COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images

Al-Waisy AS 1 , Al-Fahdawi S 2 , Mohammed MA 3 , Abdulkareem KH 4 , Mostafa SA 5 , Maashi MS 6 Show all authors , Arif M 7 , Garcia-Zapirain B 8

Affiliations 

  • 1 Communications Engineering Techniques Department, Information Technology Collage, Imam Ja'afar Al- Sadiq University, Baghdad, Iraq
  • 2 Computer Science Department, Al-Ma'aref University College, Anbar, Iraq
  • 3 College of Computer Science and Information Technology, University of Anbar, 11, Ramadi, Anbar, Iraq
  • 4 College of Agriculture, Al-Muthanna University, Samawah, 66001 Iraq
  • 5 Faculty of Computer Science and Information Technology, University Tun Hussein Onn Malaysia, Batu Pahat, Johor 86400 Malaysia
  • 6 Software Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, 11451 Saudi Arabia
  • 7 School of Computer Science, Guangzhou University, Guangzhou, China
  • 8 eVIDA Lab, The University of Deusto, Avda/Universidades 24, Bilbao, 48007 Spain
Soft comput, 2024;28(Suppl 1):65.
PMID: 39847664 DOI: 10.1007/s00500-024-09992-6

Abstract

[This retracts the article DOI: 10.1007/s00500-020-05424-3.].

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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