Correction to: Efficient COVID‑19 super pixel segmentation algorithm using MCFO‑based SLIC

Osama S. Faragallah ORCID: orcid.org/0000-0003-1982-335X¹,
Heba M. El‑Hoseny² &
Hala S. El‑Sayed³

540 Accesses
Explore all metrics

The Original Article was published on 21 October 2022

Avoid common mistakes on your manuscript.

Correction to: Journal of Ambient Intelligence and Humanized Computing (2023) 14:9217–9232 https://doi.org/10.1007/s12652-022-04425-4

The authors wish to add the following reference to include their utilization of the MCFO as an optimization tool which is a modification of CFO: Formato RA (2007) Central force optimization: a new metaheuristic with application in applied electromagnetics. Prog Electromagn Res PIER 77: 425–491.

Author information

Authors and Affiliations

Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia
Osama S. Faragallah
Department of Computer Science, The Higher Future Institute for Specialized Technological Studies, El Shorouk, Egypt
Heba M. El‑Hoseny
Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebin El‑Kom, 32511, Egypt
Hala S. El‑Sayed

Authors

Osama S. Faragallah
View author publications
You can also search for this author in PubMed Google Scholar
Heba M. El‑Hoseny
View author publications
You can also search for this author in PubMed Google Scholar
Hala S. El‑Sayed
View author publications
You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Osama S. Faragallah.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Faragallah, O.S., El‑Hoseny, H.M. & El‑Sayed, H.S. Correction to: Efficient COVID‑19 super pixel segmentation algorithm using MCFO‑based SLIC. J Ambient Intell Human Comput 14, 14385 (2023). https://doi.org/10.1007/s12652-023-04661-2

Download citation

Published: 04 July 2023
Issue Date: October 2023
DOI: https://doi.org/10.1007/s12652-023-04661-2