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Metaheuristics Applied to Blood Image Analysis

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Metaheuristics and Optimization in Computer and Electrical Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 696))

Abstract

The growing use of digital image processing techniques focused on health is explicit, helping in the solution and improvements in diagnosis, as well as the possibility of creating new diagnostic methods. The blood count is the most required laboratory medical examination, as it is the first examination made to analyze the general clinical picture of any patient, due to its ability to detect diseases, but its cost can be considered inaccessible to populations of less favored countries. In short, a metaheuristic is a heuristic method for generally solving optimization problems, usually in the area of combinatorial optimization, which is usually applied to problems for which no efficient algorithm is known. Digital Image Processing allows the analysis of an image in the various regions, as well as extract quantitative information from the image; perform measurements impossible to obtain manually; enable the integration of various types of data. Metaheuristic techniques have come to be great tools for image segmentation for digitally segmenting containing red blood cells, leukocytes, and platelets under detection and counting optics. Metaheuristics will benefit to computational blood image analysis but still face challenges as cyber-physical systems evolve, and more efficient big data methodologies arrive.

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Authors and Affiliations

  1. School of Electrical and Computer Engineering (FEEC), University of Campinas—UNICAMP, Av. Albert Einstein, 400, Barão Geraldo, Campinas, SP, Brazil

    Ana Carolina Borges Monteiro, Reinaldo Padilha França & Pablo David Minango Negrete

  2. Department of Telecommunications, Fluminense Federal University (UFF), Niterói, Brazil

    Vania V. Estrela & Yuzo Iano

  3. Department of Electrical Engineering, University of Tafresh, Tafresh, Iran

    Navid Razmjooy

Authors
  1. Ana Carolina Borges Monteiro
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  2. Reinaldo Padilha França
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  3. Vania V. Estrela
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  4. Navid Razmjooy
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  5. Yuzo Iano
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  6. Pablo David Minango Negrete
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Correspondence to Ana Carolina Borges Monteiro .

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Editors and Affiliations

  1. Tafresh University, Tafresh, Iran

    Navid Razmjooy

  2. Department of Electrical Engineering, Islamic Azad University (IAU), Majlesi Branch, Isfahan, Iran

    Mohsen Ashourian

  3. Faculty of Engineering, University of Porto, Porto, Portugal

    Zahra Foroozandeh

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Monteiro, A.C.B., França, R.P., Estrela, V.V., Razmjooy, N., Iano, Y., Negrete, P.D.M. (2021). Metaheuristics Applied to Blood Image Analysis. In: Razmjooy, N., Ashourian, M., Foroozandeh, Z. (eds) Metaheuristics and Optimization in Computer and Electrical Engineering. Lecture Notes in Electrical Engineering, vol 696. Springer, Cham. https://doi.org/10.1007/978-3-030-56689-0_6

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