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Published on: December 19, 2020
Retraction Note: COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images.
Alaa S Al-Waisy1, Shumoos Al-Fahdawi2, Mazin Abed Mohammed3
1Communications Engineering Techniques Department, Information Technology Collage, Imam Ja'afar Al- Sadiq University, Baghdad, Iraq.
Soft Computing
|January 23, 2025
Summary
This article has been retracted. The original research on [topic] is no longer considered valid due to undisclosed issues. Further investigation into the findings is not recommended.
Area of Science:
- Scientific methodology and research integrity.
Context:
- A previously published article has been officially retracted.
- The retraction is due to undisclosed reasons, impacting the validity of its findings.
Purpose:
- To formally announce the retraction of a scientific article.
- To inform the scientific community about the invalidation of the research.
Summary:
- The article identified by DOI: 10.1007/s00500-020-05424-3 has been retracted.
- The retraction notice indicates that the content of the article is no longer considered scientifically sound.
Impact:
- This retraction affects the body of scientific literature and may necessitate a re-evaluation of related studies.
- Researchers should be aware of this retraction when citing or building upon the work.
