A fuzzy segmentation method for digital substract angiograms analysis

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 

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