You are currently on the new version of our website. Access the old version .
AxiomsAxioms
  • Retraction
  • Open Access

25 March 2024

RETRACTED: Hosni Mahmoud, H.A. Diabetic Retinopathy Progression Prediction Using a Deep Learning Model. Axioms 2022, 11, 614

Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
The Axioms Editorial Office retracts the article Diabetic Retinopathy Progression Prediction Using a Deep Learning Model [1], cited above.
Following publication, concerns were brought to the attention of the Editorial Office regarding a significant overlap with a manuscript that was under review at another publisher at the time of publication [2].
Adhering to our complaint’s procedure, an investigation was conducted by the Editorial Office and Editorial Board, which confirmed the extensive and dispersed nature of the overlap and the relative timelines of the submission of the two articles. Consequently, the Editorial Office has decided to retract this publication [1] in accordance with MDPI’s retraction policy (https://www.mdpi.com/ethics#_bookmark30 (accessed on 6 March 2024)) and in line with the Committee on Publication Ethics retraction guidelines (https://publicationethics.org/retraction-guidelines (accessed on 6 March 2024)).
This retraction was approved by the Editor-in-Chief of Axioms.
The author did not comment on this decision.

References

  1. Hosni Mahmoud, H.A. RETRACTED: Diabetic Retinopathy Progression Prediction Using a Deep Learning Model. Axioms 2022, 11, 614. [Google Scholar] [CrossRef]
  2. Kim, H.; Lee, J.; Moon, S.; Kim, S.; Kim, T.; Jin, S.W.; Kim, J.L.; Shin, J.; Lee, S.U.; Jang, G.; et al. Visual field prediction using a deep bidirectional gated recurrent unit network model. Sci. Rep. 2023, 13, 11154. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.