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Analysis and Classification of Breast Masses by Fuzzy-set-based Image Processing

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Digital Mammography

Abstract

We propose parameters to characterize breast masses based upon the fuzzy transition present in their boundaries. We have developed an interactive graphical interface that integrates fuzzy-set-based segmentation and classification tools. Using a database of 47 mammograms including 22 benign masses and 25 malignant tumors, the coefficient of variation of the fuzzy membership values in ribbons surrounding mass regions provided a sensitivity of 0.8 and a specificity of 0.91.

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References

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Author information

Authors and Affiliations

  1. Faculty of Informatics, Federal University of Uberlândia, Uberlândia, Minas Gérais, Brazil

    Denise Guliato, Fabricio Adorno & Mário M. G. Ribeiro

  2. Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada, T2N 1N4

    Rangaraj M. Rangayyan

Authors
  1. Denise Guliato
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  2. Rangaraj M. Rangayyan
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  3. Fabricio Adorno
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  4. Mário M. G. Ribeiro
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Editor information

Editors and Affiliations

  1. Me Vis — Center for Medical Diagnostic Systems and Visualization at the University of Bremen, Universitätsallee 29, 28359, Bremen, Germany

    Heinz-Otto Peitgen Ph.D. (Professor of Mathematics and Biomedical Sciences) (Professor of Mathematics and Biomedical Sciences)

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© 2003 Springer-Verlag Berlin Heidelberg

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Guliato, D., Rangayyan, R.M., Adorno, F., Ribeiro, M.M.G. (2003). Analysis and Classification of Breast Masses by Fuzzy-set-based Image Processing. In: Peitgen, HO. (eds) Digital Mammography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59327-7_46

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  • DOI: https://doi.org/10.1007/978-3-642-59327-7_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63936-4

  • Online ISBN: 978-3-642-59327-7

  • eBook Packages: Springer Book Archive

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