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Medical Image Denoising Using Metaheuristics

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Metaheuristics for Medicine and Biology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 704))

Abstract

In recent years, metaheuristic optimization techniques have attracted much attention from researchers and practitioners and they have been widely used to solve complex or specific optimization problems in all fields, from engineering area to finance [2].

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Acknowledgements

The authors are indebted to the reviewers for their constructive suggestions which significantly helped in improving the quality of this paper. This work was supported by Research Fund of Erciyes University. Project Number: FDK-2012-4156.

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Authors and Affiliations

  1. Sivas Vocational School, Cumhuriyet University, Sivas, Turkey

    Serdar Kockanat & Nurhan Karaboga

  2. Department of Electrical and Electronics Engineering, Erciyes University, Kayseri, Turkey

    Serdar Kockanat & Nurhan Karaboga

Authors
  1. Serdar Kockanat
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  2. Nurhan Karaboga
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Corresponding author

Correspondence to Nurhan Karaboga .

Editor information

Editors and Affiliations

  1. Signaux et Systèmes Intelligents, Université Paris Est Créteil, Laboratoire Images, Créteil, France

    Amir Nakib

  2. INRIA Lille Nord Europe Parc Scientifique de la Haute Borne, Laboratoire d'Informatique Fondamentale de Lille (UMR CNRS 8022), Villeneuve d'Ascq, France

    El-Ghazali Talbi

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Kockanat, S., Karaboga, N. (2017). Medical Image Denoising Using Metaheuristics. In: Nakib, A., Talbi, EG. (eds) Metaheuristics for Medicine and Biology. Studies in Computational Intelligence, vol 704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54428-0_9

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  • DOI: https://doi.org/10.1007/978-3-662-54428-0_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-54426-6

  • Online ISBN: 978-3-662-54428-0

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