Resolution of Expression of Concern: A Lightweight U-Net Model for Accurate Skin Lesion Segmentation

Authors

• Fallah H. Najjar, Department of Emergent Computing, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia AND Department of Computer Systems Techniques, Technical Institute of Najaf, Al-Furat Al-Awsat Technical University, Najaf, 54001, Iraq
• Karrar A. Kadhim, Department of Emergent Computing, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia AND Computer Techniques Engineering Department, Faculty of Information Technology, Imam Ja'afar Al-Sadiq University, Baghdad, Iraq
• Farhan Mohamed, Department of Emergent Computing, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
• Mohd Shafry Mohd Rahim, Department of Emergent Computing, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
• Asniyani Nur Haidar Abdullah, Department of Emergent Computing, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia AND Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia 5th author

Abstract

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1378) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1230). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:
The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.
We have found no evidence of misconduct or invalidity in the research. The gindings presented in the original article are considered robust and accurate. This notice formally resolves the previously published Expression of Concern. The original article stands as published, and we affirm the integrity of the research.

Recommended Citation

Najjar, Fallah H.; Kadhim, Karrar A.; Mohamed, Farhan; Rahim, Mohd Shafry Mohd; and Abdullah, Asniyani Nur Haidar (2026) "Resolution of Expression of Concern: A Lightweight U-Net Model for Accurate Skin Lesion Segmentation," Iraqi Journal for Computer Science and Mathematics: Vol. 7: Iss. 2, Article 2.
DOI: https://doi.org/10.52866/2788-7421.1402
Available at: https://ijcsm.researchcommons.org/ijcsm/vol7/iss2/2