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Correction: Deep Learning-Enhanced Brain Tumor Prediction via Entropy-Coded BPSO in CIELAB Color Space

by Mudassir Khalil1, Muhammad Imran Sharif2,*, Ahmed Naeem3, Muhammad Umar Chaudhry1, Hafiz Tayyab Rauf4,*, Adham E. Ragab5

1 Department of Computer Engineering, Bahauddin Zakariya University, Multan, 60000, Pakistan
2 Department of Computer Science, Kansas State University, Manhattan, KS 66506, USA
3 Department of Computer Science, University of Management and Technology, Lahore, 54000, Pakistan
4 Independent Researcher, Bradford, BD8 0HS, UK
5 Industrial Engineering Department, Collage of Engineering, King Saud University, P.O. Box 800, Riyadh, 11421, Saudi Arabia

* Corresponding Authors: Muhammad Imran Sharif. Email: email; Hafiz Tayyab Rauf. Email: email

Computers, Materials & Continua 2025, 82(1), 1461-1461. https://doi.org/10.32604/cmc.2024.061589

This article is a correction of:

Deep Learning-Enhanced Brain Tumor Prediction via Entropy-Coded BPSO in CIELAB Color Space
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APA Style
Khalil, M., Sharif, M.I., Naeem, A., Chaudhry, M.U., Rauf, H.T. et al. (2025). Correction: deep learning-enhanced brain tumor prediction via entropy-coded BPSO in CIELAB color space. Computers, Materials & Continua, 82(1), 1461-1461. https://doi.org/10.32604/cmc.2024.061589
Vancouver Style
Khalil M, Sharif MI, Naeem A, Chaudhry MU, Rauf HT, Ragab AE. Correction: deep learning-enhanced brain tumor prediction via entropy-coded BPSO in CIELAB color space. Comput Mater Contin. 2025;82(1):1461-1461 https://doi.org/10.32604/cmc.2024.061589
IEEE Style
M. Khalil, M. I. Sharif, A. Naeem, M. U. Chaudhry, H. T. Rauf, and A. E. Ragab, “Correction: Deep Learning-Enhanced Brain Tumor Prediction via Entropy-Coded BPSO in CIELAB Color Space,” Comput. Mater. Contin., vol. 82, no. 1, pp. 1461-1461, 2025. https://doi.org/10.32604/cmc.2024.061589



cc 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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