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CORRECTION
Correction: A Lightweight Approach for Skin Lesion Detection through Optimal Features Fusion
1 Department of Information Technology, University of Gujrat, Gujrat, 50700, Pakistan
2 Department of Software Engineering, University of Gujrat, Gujrat, 50700, Pakistan
3 Department of Computer Science, COMSATS University Islamabad-Wah Campus, Wah Cantt, 47040, Pakistan
4 Independent Researcher, Bradford, BD8 0HS, UK
5 Advanced Manufacturing Institute, King Saud University, Riyadh, 11421, Saudi Arabia
6 Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh, 11421, Saudi Arabia
* Corresponding Author: Hafiz Tayyab Rauf. Email:
Computers, Materials & Continua 2025, 82(1), 1459-1459. https://doi.org/10.32604/cmc.2024.061588
Issue published 03 January 2025
This article is a correction of:
A Lightweight Approach for Skin Lesion Detection Through Optimal Features Fusion
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This article has no abstract.In the article “A Lightweight Approach for Skin Lesion Detection through Optimal Features Fusion” by Khadija Manzoor, Fiaz Majeed, Ansar Siddique, Talha Meraj, Hafiz Tayyab Rauf, Mohammed A. El-Meligy, Mohamed Sharaf, Abd Elatty E. Abd Elgawad Computers, Materials & Continua, 2022, Vol. 70, No. 1, pp. 1617–1630. DOI: 10.32604/cmc.2022.018621, URL: https://www.techscience.com/cmc/v70n1/44361, there was an error regarding the affiliation for the author Hafiz Tayyab Rauf. Instead of “Centre for Smart Systems, AI and Cybersecurity, Staffordshire University, Stoke-on-Trent, UK”, the affiliation should be “Independent Researcher, Bradford, BD8 0HS, UK”.
The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.
Please find below the corrected information:
This correction was approved by the Editors-in-Chief and the Editorial Office of Computers, Materials & Continua. The corrected version of the article has been updated accordingly.
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Copyright © 2025 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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