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XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 pp 228–233Cite as

Local and Global Fractal Behaviour in Mammographic Images

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

Abstract

Breast cancer is the most common cancer among women. Most studies attempt to perform segmentation of tumors highlighted in mammogaphic images, or analyze the contours of tumors for classification purposes. Successful segmentation and classification of tumors can assist physicians in revealing suspicious regions or masses, or in differentiating malignant from benign tumors by mammography. However, relevant studies do not focus on the tumor surface statistics for the purpose of clustering and/or classification. In this work, we present a statistical, fractal-based approach, for the analysis of annotated tumors, reduced from the DDSM database. We explore local and global fractal properties, obtained from the tumor surface, and present preliminary results on the properties of benign and malignant tumors.

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Author information

Authors and Affiliations

  1. Technion - Israel Institute of Technology, Technion City, Haifa, 3200003, Israel

    Ido Zachevsky & Yehoshua Y. Zeevi

Authors
  1. Ido Zachevsky
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  2. Yehoshua Y. Zeevi
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Correspondence to Ido Zachevsky .

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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© 2016 Springer International Publishing Switzerland

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Zachevsky, I., Zeevi, Y.Y. (2016). Local and Global Fractal Behaviour in Mammographic Images. 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_46

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  • DOI: https://doi.org/10.1007/978-3-319-32703-7_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32701-3

  • Online ISBN: 978-3-319-32703-7

  • eBook Packages: EngineeringEngineering (R0)

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