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Volume 11
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10.3390/electronics11244084
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Correction to Electronics 2022, 11(17), 2767.
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Correction

Correction: Xiaomei et al. Intelligent Hybrid Deep Learning Model for Breast Cancer Detection. Electronics 2022, 11, 2767

by
Xiaomei Wang
1,
Ijaz Ahmad
2,*,
Danish Javeed
3,
Syeda Armana Zaidi
4,
Fahad M. Alotaibi
5,
Mohamed E. Ghoneim
6,7,
Yousef Ibrahim Daradkeh
8,
Junaid Asghar
9 and
Elsayed Tag Eldin
10,*
1
School of Mathematical Science, University of Electronic Science and Technology of China, Chengdu 611731, China
2
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
3
Software College, Northeastern University, Shenyang 110169, China
4
College of Life Sciences, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing 100049, China
5
Department of Information Systems, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University, Jeddah 21589, Saudi Arabia
6
Department of Mathematical Sciences, Faculty of Applied Science, Umm Al-Qura University, Makkah 21955, Saudi Arabia
7
Faculty of Computers and Artificial Intelligence, Damietta University, Damietta 34517, Egypt
8
Department of Computer Engineering and Networks, College of Engineering at Wadi Addawasir, Prince Sattam Bin Abdulaziz University, Al Kharj 11991, Saudi Arabia
9
Faculty of Pharmacy, Gomal University, Dera Ismail Khan 29111, Pakistan
10
Electrical Engineering Department, Faculty of Engineering & Technology, Future University, New Cairo 11845, Egypt
*
Authors to whom correspondence should be addressed.
Electronics 2022, 11(24), 4084; https://doi.org/10.3390/electronics11244084
Submission received: 24 November 2022 / Accepted: 30 November 2022 / Published: 8 December 2022
(This article belongs to the Special Issue Intelligent Data Sensing, Processing, Mining, and Communication)
Versions Notes

Additional Affiliation

In the published publication [1], there was an error regarding the affiliation for Mohamed E. Ghoneim. In addition to affiliation 6, the updated affiliation should include: Faculty of Computers and Artificial Intelligence, Damietta University, Damietta 34517, Egypt.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Wang, X.; Ahmad, I.; Javeed, D.; Zaidi, S.A.; Alotaibi, F.M.; Ghoneim, M.E.; Daradkeh, Y.I.; Asghar, J.; Eldin, E.T. Intelligent Hybrid Deep Learning Model for Breast Cancer Detection. Electronics 2022, 11, 2767. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wang, X.; Ahmad, I.; Javeed, D.; Zaidi, S.A.; Alotaibi, F.M.; Ghoneim, M.E.; Daradkeh, Y.I.; Asghar, J.; Eldin, E.T. Correction: Xiaomei et al. Intelligent Hybrid Deep Learning Model for Breast Cancer Detection. Electronics 2022, 11, 2767. Electronics 2022, 11, 4084. https://doi.org/10.3390/electronics11244084

AMA Style

Wang X, Ahmad I, Javeed D, Zaidi SA, Alotaibi FM, Ghoneim ME, Daradkeh YI, Asghar J, Eldin ET. Correction: Xiaomei et al. Intelligent Hybrid Deep Learning Model for Breast Cancer Detection. Electronics 2022, 11, 2767. Electronics. 2022; 11(24):4084. https://doi.org/10.3390/electronics11244084

Chicago/Turabian Style

Wang, Xiaomei, Ijaz Ahmad, Danish Javeed, Syeda Armana Zaidi, Fahad M. Alotaibi, Mohamed E. Ghoneim, Yousef Ibrahim Daradkeh, Junaid Asghar, and Elsayed Tag Eldin. 2022. "Correction: Xiaomei et al. Intelligent Hybrid Deep Learning Model for Breast Cancer Detection. Electronics 2022, 11, 2767" Electronics 11, no. 24: 4084. https://doi.org/10.3390/electronics11244084

APA Style

Wang, X., Ahmad, I., Javeed, D., Zaidi, S. A., Alotaibi, F. M., Ghoneim, M. E., Daradkeh, Y. I., Asghar, J., & Eldin, E. T. (2022). Correction: Xiaomei et al. Intelligent Hybrid Deep Learning Model for Breast Cancer Detection. Electronics 2022, 11, 2767. Electronics, 11(24), 4084. https://doi.org/10.3390/electronics11244084

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