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MORPHOLOGICAL METHOD OF MICROCALCIFICATIONS DETECTION IN MAMMOGRAMS

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Computer Vision and Graphics

Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

Abstract

Detection of microcalcifications (MCs) in mammograms for early breast cancer diagnosing is a widely investigated subject. A number of methods have been tried out so far, but obtained results are still not satisfactory. To avoid difficulties with comparisons of our results with others’, we present results obtained on mammograms from the Digital Database for Screening Mammography (DDSM), provided by the University of South Florida. In this study, a novel approach to MCs detection based on mathematical morphology is presented. A combination of methods is used for the detection of MCs. The evaluation of the proposed technique is done using a free-response operating characteristic (FROC). Our results demonstrate that the MCs can be effectively detected by the proposed approach.

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Author information

Authors and Affiliations

  1. Technical University of Bialystok, Bialystok, POLAND

    Marek Ustymowicz

  2. Institute of Fundamental Technological Research, PAS, Warsaw, POLAND

    Mariusz Nieniewski

Authors
  1. Marek Ustymowicz
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  2. Mariusz Nieniewski
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Ustymowicz, M., Nieniewski, M. (2006). MORPHOLOGICAL METHOD OF MICROCALCIFICATIONS DETECTION IN MAMMOGRAMS. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_135

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_135

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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