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Detection of the Central Mass of Spiculated Lesions — Signature Normalisation and Model Data Aspects

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Book cover Information Processing in Medical Imaging (IPMI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1613))

Abstract

We describe a method for labelling image structure based on non-linear scale-orientation signatures which can be used as a basis for robust pixel classification. The effect of normalisation of the signatures is discussed as a means to improve classification robustness with respect to grey-level variations. In addition, model data selection and scale normalisation are investigated as a means to improve the robustness of detection with respect to the scale of structures.

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References

  1. Zwiggelaar, R., et al.: Model-based detection of spiculated lesions in mammograms. Medical Image Analysis 3 (1999) 39–62

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  2. Jolliffe, I.T.: Principal Component Analysis. Springer Verlag (1986)

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Author information

Authors and Affiliations

  1. Division of Computer Science, University of Portsmouth, Portsmouth, UK

    Reyer Zwiggelaar

  2. Wolfson Image Analysis Unit, University of Manchester, Manchester, UK

    Christopher J. Taylor

  3. Breast Screening Unit, Royal South Hants Hospital, Southampton, UK

    Caroline M. E. Rubin

Authors
  1. Reyer Zwiggelaar
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  2. Christopher J. Taylor
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  3. Caroline M. E. Rubin
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Editor information

Editors and Affiliations

  1. Department of Applied Informatics, József Attila University, Árpád tér 2., H-6720, Szeged, Hungary

    Attila Kuba

  2. Institute of Nuclear Medicine, Charles University of Prague, Salmovska 3, CZ-120 00, Prague, Czech Republic

    Martin Šáamal

  3. Department of Medical Physics, University College London, Gower Street, London, WC1E 6BT, UK

    Andrew Todd-Pokropek

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© 1999 Springer-Verlag Berlin Heidelberg

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Zwiggelaar, R., Taylor, C.J., Rubin, C.M.E. (1999). Detection of the Central Mass of Spiculated Lesions — Signature Normalisation and Model Data Aspects. In: Kuba, A., Šáamal, M., Todd-Pokropek, A. (eds) Information Processing in Medical Imaging. IPMI 1999. Lecture Notes in Computer Science, vol 1613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48714-X_37

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  • DOI: https://doi.org/10.1007/3-540-48714-X_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66167-2

  • Online ISBN: 978-3-540-48714-2

  • eBook Packages: Springer Book Archive

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