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Multi-stage Optimization Over Extracted Feature for Detection and Classification of Breast Cancer

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Software Engineering Trends and Techniques in Intelligent Systems (CSOC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 575))

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Abstract

Although, there are various forms of medical image processing techniques for identification of breast cancer, but majority of the technique are either expensive, or time dependent, or doesn’t produce accurate outcomes. We reviewed the recent techniques of breast cancer detection to find that the sole conclusion of presence or absence of disease depends on the skills of a radiologist. The present manuscript introduces a very simple modeling of breast cancer detection followed by multiple level of optimization carried out towards its extracted feature. A transform-based technique is used for feature extraction which is further optimized using particle swarm optimization for precise detection of cancerous tissues within a mammogram. Finally, we use a set of simplified fuzzy rules in order to identify the type of the cancer. The presented system offers faster response time with negligible computational complexity.

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Author information

Authors and Affiliations

  1. Instrumentation Technology, Visvesvaraya Technological University, Belagavi, India

    S. J. Sushma

  2. Department of Instrumentation Technology, RVCE, Bengaluru, India

    S. C. Prasanna Kumar

Authors
  1. S. J. Sushma
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  2. S. C. Prasanna Kumar
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Corresponding author

Correspondence to S. J. Sushma .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in ZlĂ­n, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in ZlĂ­n, Zlin, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in ZlĂ­n, Zlin, Czech Republic

    Zdenka Prokopova

  4. Faculty of Applied Informatics, Tomas Bata University in ZlĂ­n, Zlin, Czech Republic

    Roman Senkerik

  5. Faculty of Applied Informatics, Tomas Bata University in ZlĂ­n, Zlin, Czech Republic

    Zuzana Kominkova Oplatkova

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Sushma, S.J., Prasanna Kumar, S.C. (2017). Multi-stage Optimization Over Extracted Feature for Detection and Classification of Breast Cancer. In: Silhavy, R., Silhavy, P., Prokopova, Z., Senkerik, R., Kominkova Oplatkova, Z. (eds) Software Engineering Trends and Techniques in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 575. Springer, Cham. https://doi.org/10.1007/978-3-319-57141-6_29

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  • DOI: https://doi.org/10.1007/978-3-319-57141-6_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57140-9

  • Online ISBN: 978-3-319-57141-6

  • eBook Packages: EngineeringEngineering (R0)

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