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Line Segment Based Approach to Pattern Detection in Mammographic Images

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Information Technologies in Biomedicine, Volume 3

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 283))

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Abstract

This paper describes a practical application of our novel method for detecting the boundaries between areas of different brightness to microcalcifications detection. We focus on microcalcifications detection step, whereas their classification, next important stage, is out of the scope of this paper. Microcalcifications are tiny specks of calcium, which may be an early sign of cancer. Because of that, their analysis based on mammographic examination is very important. Segments of boundaries are described by the coordinates of the start and the end point. Such representation of the boundary simplify further analysis of their shape. Some results of microcalcifications detection are presented. Parameters influence on results is shown.

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Author information

Authors and Affiliations

  1. Institute of Information Technology, Lodz University of Technology, Wólczańska 215, 90-924, Łódź, Poland

    Jagoda Lazarek & Piotr S. Szczepaniak

Authors
  1. Jagoda Lazarek
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  2. Piotr S. Szczepaniak
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Corresponding author

Correspondence to Jagoda Lazarek .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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© 2014 Springer International Publishing Switzerland

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Lazarek, J., Szczepaniak, P.S. (2014). Line Segment Based Approach to Pattern Detection in Mammographic Images. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 3. Advances in Intelligent Systems and Computing, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-319-06593-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-06593-9_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06592-2

  • Online ISBN: 978-3-319-06593-9

  • eBook Packages: EngineeringEngineering (R0)

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