Skip to main content
SpringerLink
Log in

A fuzzy segmentation method for digital substract angiograms analysis

  • Poster Abstracts
  • Conference paper
  • First Online:
Book cover Computational Intelligence Theory and Applications (Fuzzy Days 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1226))

Included in the following conference series:

  • 109 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Wunderlich W., Linderer T., Backs B., FischerF., Schroder R. “Optimum edge detection in quantitative coronary arteriography.” In: Proc of CAR'93. H.U. Lemke, K.Inamura, C.C. Jaffe and R Felix(eds). Springer-Verlag. 1993; pp303–308.

    Google Scholar 

  2. Dumay A., Gerbrands J. and Reiber H. Automated extraction, labelling and analysis of the coronary vasculature from arteriograms. International Journal of Cardiac Imaging, 1994; 10:205–215.

    Google Scholar 

  3. Zadeh L.A.: “Fuzzy sets. Information and Control”, 1965; vol 8, pp338–353.

    Google Scholar 

  4. Lemarquis B., Bubel A., Bombardier V., LevratE., Bremont J. “Integration de connaissances linguistiques pourun operateur de detection de contours par règles floues”,quatrième journee nationale sur les applications des ensembles flous, Lille, Dec 94.

    Google Scholar 

  5. Levrat E., Bombardier V., Lamotte M., Bremont J. “Multi-level image segmentation using fuzzy clusteringand local membership variation detection”, FUZZ-IEEE 92, IEEE international Conference on fuzzy system, San Diego,USA, 8–12 march 1992, Proceeding pp. 221–228. Bezdek J.C “Pattern recognition with fuzzy objective algorithms.” Plenum Press New York, 1981.

    Google Scholar 

  6. Bezdek J.C “Pattern recognition with fuzzy objective algorithms.” Plenum Press New York, 1981.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Service d'Informatique Médicale, Hôpital Broussais 96 rue Didot, 75014, Paris, France

    M. C. Jaulent

  2. Centre de Recherche en Automatique de Nancy, CNRS URA 821, Equipe d'Electricité et d'Automatique, Université de Nancy I-Facuité des Sciences, 54506, Vandoeuvre Cedex, France

    V. Bombardier, A. Bubel & J. Brémont

Authors
  1. M. C. Jaulent
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. Bombardier
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. Bubel
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. J. Brémont
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Bernd Reusch

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jaulent, M.C., Bombardier, V., Bubel, A., Brémont, J. (1997). A fuzzy segmentation method for digital substract angiograms analysis. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_159

Download citation

  • DOI: https://doi.org/10.1007/3-540-62868-1_159

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62868-2

  • Online ISBN: 978-3-540-69031-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation