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Lexicographic Approach Based on Evidence Theory for Blood Cell Image Segmentation

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Metaheuristics for Medicine and Biology

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

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Abstract

The analysis of microscope cell blood images can provide useful information concerning health of patients; the main different components of blood are White Blood Cells (WBCs), Red Blood Cells (RBCs) and platelets. When a disease and foreign materials infect human bodies, the number of WBCs increases to respond and defend infection.

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Authors and Affiliations

  1. Laboratory of GBM, University of Tlemcen, Tlemcen, Algeria

    Ismahan Baghli

  2. Laboratoire LISSI, Université Paris Est, 122 Rue P. Armangot, 94400, Vitry-sur-Seine, France

    Amir Nakib

Authors
  1. Ismahan Baghli
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  2. Amir Nakib
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Correspondence to Amir Nakib .

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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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Baghli, I., Nakib, A. (2017). Lexicographic Approach Based on Evidence Theory for Blood Cell Image Segmentation. 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_8

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  • DOI: https://doi.org/10.1007/978-3-662-54428-0_8

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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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