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Fuzzy Techniques in Image Processing pp 308–336Cite as

Fuzzy Techniques in Mammographic Image Processing

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 52))

Summary

In this chapter we discuss fuzzy techniques for the detection and analysis of potential breast cancer lesions on mammograms. We show how fuzzy measurements can be performed on the images and how this information can be used in the different stages of the processing.

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References

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Author information

Authors and Affiliations

  1. Université Pierre et Marie Curie, LIP6, Case 169, 4 place Jussieu, 75252, Paris CEDEX 05, France

    Andreas Rick, Bernadette Bouchon-Meunier & Maria Rifqi

  2. General Electric Medical Systems, 283 rue de la Minière, 78533, Buc, France

    Andreas Rick, Sylvie Bothorel & Serge Muller

Authors
  1. Andreas Rick
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  2. Sylvie Bothorel
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  3. Bernadette Bouchon-Meunier
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  4. Serge Muller
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  5. Maria Rifqi
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Editor information

Editors and Affiliations

  1. Department of Applied Mathematics and Computer Science Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Krijgslaan 281 (S9), 9000, Gent, Belgium

    Etienne E. Kerre  & Mike Nachtegael  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Rick, A., Bothorel, S., Bouchon-Meunier, B., Muller, S., Rifqi, M. (2000). Fuzzy Techniques in Mammographic Image Processing. In: Kerre, E.E., Nachtegael, M. (eds) Fuzzy Techniques in Image Processing. Studies in Fuzziness and Soft Computing, vol 52. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1847-5_12

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  • DOI: https://doi.org/10.1007/978-3-7908-1847-5_12

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2475-9

  • Online ISBN: 978-3-7908-1847-5

  • eBook Packages: Springer Book Archive

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