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Curvelet-Based Classification of Brain MRI Images

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Book cover Image Analysis and Recognition (ICIAR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10317))

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Abstract

Classification of brain MRI images is crucial in medical diagnosis. Automatic classification of these images helps in developing effective non-invasive procedures. In this paper, based on curvelet transform, a novel classification scheme of brain MRI images is proposed and a technique for extracting and selecting curvelet features is provided. To study the effectiveness of their use, the proposed features are employed into three different prediction algorithms, namely, K-nearest neighbours, support vector machine and decision tree. The method of K-fold stratified cross validation is used to assess the efficacy of the proposed classification solutions and the results are compared with those of various state-of-the-art classification schemes available in the literature. The experimental results demonstrate the superiority of the proposed decision tree classification scheme in terms of accuracy, generalization capability, and real-time reliability.

This work was supported in part by the Natural Sciences and Engineering Research Council (NSERC) of Canada and in part by the Regroupement Strategique en Microelectronique du Quebec (ReSMiQ).

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Acknowledgments

The authors would like to thank Yudong Zhang for providing a portion of the MRI dataset.

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Authors and Affiliations

  1. Institut de génie biomédical, École Polytechnique de Montréal, Montreal, QC, H3T 1J4, Canada

    Rafat Damseh

  2. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada

    M. Omair Ahmad

Authors
  1. Rafat Damseh
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  2. M. Omair Ahmad
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Corresponding author

Correspondence to Rafat Damseh .

Editor information

Editors and Affiliations

  1. University of Waterloo, Waterloo, Ontario, Canada

    Fakhri Karray

  2. University of Porto, Porto, Portugal

    Aurélio Campilho

  3. Politechnique Montreal, Montreal, Québec, Canada

    Farida Cheriet

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Damseh, R., Ahmad, M.O. (2017). Curvelet-Based Classification of Brain MRI Images. In: Karray, F., Campilho, A., Cheriet, F. (eds) Image Analysis and Recognition. ICIAR 2017. Lecture Notes in Computer Science(), vol 10317. Springer, Cham. https://doi.org/10.1007/978-3-319-59876-5_49

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  • DOI: https://doi.org/10.1007/978-3-319-59876-5_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59875-8

  • Online ISBN: 978-3-319-59876-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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