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XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 pp 200–204Cite as

An Intelligent Method for Breast Cancer Diagnosis Based on Fuzzy ART and Metaheuristic Optimization

Part of the IFMBE Proceedings book series (IFMBE,volume 57)

Abstract

Breast cancer is one of the major causes of death in women when compared to all other cancers. This cancer has become the most hazardous types of cancer among women in the world. Early detection of breast cancer is essential in reducing life losses. In this paper some metaheuristic optimization algorithms was used to find the parameters of the Fuzzy-ART. Fuzzy-ART is not so strong to deal with above data. However, its performance is significantly improved by using evolutionary optimization methods. These hybrid classification techniques were tested on a training data set provided by the Wisconsin dataset for breast cancer. Results showed that the proposed harmony search (HS) algorithm provides better result with less time and less number of steps than genetic algorithm (GA) and particle swarm optimization (PSO) in the same conditions. As seen in this research, evolutionary HS algorithm had a higher convergence ability to obtain optimal solution too. The best performance obtained from this algorithm is 97.80% for accuracy and 98.92% for specificity.

Keywords

  • Breast cancer diagnosis
  • Fuzzy-ART
  • Metaheuristic optimization
  • Genetic Algorithm
  • Particle Swarm Optimization
  • Harmony search algorithm

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  • DOI: 10.1007/978-3-319-32703-7_41
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Author information

Authors and Affiliations

  1. Department of Biomechanics, Science and Research Branch, Islamic Azad University, Golzare.1, Adl Blvd, Poonak, Tehran, Iran

    Kamran Hassani & Kamal Jafarian

Authors
  1. Kamran Hassani
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  2. Kamal Jafarian
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Correspondence to Kamran Hassani .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus

    Efthyvoulos Kyriacou

  2. Biomedical Research Foundation, Nicosia, Cyprus

    Stelios Christofides

  3. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    Constantinos S. Pattichis

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Hassani, K., Jafarian, K. (2016). An Intelligent Method for Breast Cancer Diagnosis Based on Fuzzy ART and Metaheuristic Optimization. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_41

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  • DOI: https://doi.org/10.1007/978-3-319-32703-7_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32701-3

  • Online ISBN: 978-3-319-32703-7

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