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Retraction: Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U-Net model (International Journal of Imaging Systems and Technology, (2024), 34, 1, 10.1002/ima.22941)

  • B. Amaludin
  • , S. Kadry
  • , F. F. Ting
  • , D. Taniar

Research output: Contribution to journalComment/debate

Abstract

RETRACTION: B. Amaludin, S. Kadry, F. F. Ting, and D. Taniar, “Toward More Accurate Diagnosis of Multiple Sclerosis: Automated Lesion Segmentation in Brain Magnetic Resonance Image Using Modified U-net Model,” International Journal of Imaging Systems and Technology 34, no. 1 (2024): e22941, https://doi.org/10.1002/ima.22941. The above article, published online on 28 July 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Mohamed Seghier; and Wiley Periodicals LLC. The retraction has been agreed on as the peer review and publishing process was found to be manipulated. The authors have been informed of the decision to retract. F. F. Ting agrees to the retraction.

Original languageEnglish
Article numbere70363
JournalInternational Journal of Imaging Systems and Technology
Volume36
Issue number3
DOIs
StatePublished - May 2026

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