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Angular Resolution Study of Vectors Representing Subtle Spiculated Structures in Mammograms

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Book cover 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

In this paper various multiscale transformations, such as contourlets, curvelets, tensor and complex wavelets, were examined in terms of the precise representation of texture directionality in medical images. In particular, subtle radiating and spiculated structures in mammograms were modeled with sparse vectors of the image linear expansions. Important properties of angular resolution, angular selectivity and shift invariance have been evaluated with simple phantoms. According to the experimental results, the complex wavelets have been proved to be the most effective tool in mammogram preprocessing to extract and uniquely represent relevant spicular symptoms for accurate diagnosis.

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Author information

Authors and Affiliations

  1. The Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665, Warsaw, Nowowiejska 15/19, Poland

    Magdalena Jasionowska

  2. The Faculty of Mathematics and Information Science, Warsaw University of Technology, 00-662, Warsaw, Koszykowa 75, Poland

    Artur Przelaskowski

Authors
  1. Magdalena Jasionowska
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  2. Artur Przelaskowski
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Corresponding author

Correspondence to Magdalena Jasionowska .

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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Jasionowska, M., Przelaskowski, A. (2014). Angular Resolution Study of Vectors Representing Subtle Spiculated Structures in Mammograms. 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_3

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  • DOI: https://doi.org/10.1007/978-3-319-06593-9_3

  • 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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