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Computers
Volume 13
Issue 1
10.3390/computers13010015
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Correction to Computers 2022, 11(1), 10.
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Correction

Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10

by
Dillip Ranjan Nayak
1,
Neelamadhab Padhy
1,
Pradeep Kumar Mallick
2,
Dilip Kumar Bagal
3 and
Sachin Kumar
4,*
1
School of Engineering and Technology (CSE), GIET University, Gunupur 765022, India
2
School of Computer Engineering, Kalinga Institute of Technology, Deemed to be University, Bhubaneswar 751024, India
3
Department of Mechanical Engineering, Government College of Engineering, Bhawanipatna 766002, India
4
Department of Computer Science, South Ural State University, 454080 Chelyabinsk, Russia
*
Author to whom correspondence should be addressed.
Computers 2024, 13(1), 15; https://doi.org/10.3390/computers13010015
Submission received: 17 November 2023 / Accepted: 21 November 2023 / Published: 3 January 2024
Browse Figure
Figure 4
<p>Result of the sunflower optimization approach.</p> ">
Versions Notes

Missing Copyright Permission

Figure 1 was reproduced without the correct copyright permissions from the copyright holder (Medical Sciences) [1]. Therefore, Figure 1, and ref. 5 in the main text have been removed from the paper. This deletion does not affect the scientific results. With this correction, the order of the figures and the references has been adjusted accordingly.

Figure Update

The original Figure 4 was not clear, the author would like to update it with a higher quality version.
Computers 13 00015 g004
Figure 4. Result of the sunflower optimization approach.
Figure 4. Result of the sunflower optimization approach.
Computers 13 00015 g004

Reference Update

The website link of the reference [35] has been updated: https://www.kaggle.com/code/vexxingbanana/brain-mri-image-100-accuracy/notebook, since the original link was incorrect.
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. Nayak, D.R.; Padhy, N.; Mallick, P.K.; Bagal, D.K.; Kumar, S. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Nayak, D.R.; Padhy, N.; Mallick, P.K.; Bagal, D.K.; Kumar, S. Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10. Computers 2024, 13, 15. https://doi.org/10.3390/computers13010015

AMA Style

Nayak DR, Padhy N, Mallick PK, Bagal DK, Kumar S. Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10. Computers. 2024; 13(1):15. https://doi.org/10.3390/computers13010015

Chicago/Turabian Style

Nayak, Dillip Ranjan, Neelamadhab Padhy, Pradeep Kumar Mallick, Dilip Kumar Bagal, and Sachin Kumar. 2024. "Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10" Computers 13, no. 1: 15. https://doi.org/10.3390/computers13010015

APA Style

Nayak, D. R., Padhy, N., Mallick, P. K., Bagal, D. K., & Kumar, S. (2024). Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10. Computers, 13(1), 15. https://doi.org/10.3390/computers13010015

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