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Modelling Blood Vessels of the Eye with Parametric L-Systems Using Evolutionary Algorithms

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Book cover Artificial Intelligence in Medicine (AIMDM 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1620))

Abstract

In this paper the GREDEA system is presented. The main idea behind it is that with the help of evolutionary algorithms a grammatical description of the blood circulation of the human retina can be inferred. The system uses parametric Lindenmayer systems as description language. It can be applied on patients with diabetes who need to be monitored over long periods.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Programming Languages, Friedrich-Alexander University of Erlangen-Nürnberg, Martensstr. 3, D-91058, Erlangen, Germany

    Gabriella Kókai & Zoltán Tóth

  2. Institute of Informatics, József Attila University, Árpád té 2, H-6720, Szeged, Hungary

    Róbert Ványi

Authors
  1. Gabriella Kókai
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  2. Zoltán Tóth
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  3. Róbert Ványi
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Editor information

Editors and Affiliations

  1. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010, Vienna, Austria

    Werner Horn

  2. Department of Medicine and Computer Science, Stanford University, 251 Campus Drive, Stanford, CA, 94305-5479, USA

    Yuval Shahar

  3. Department of Medicine Karolinska Institutet, Huddinge University Hospital, Sweden

    Greger Lindberg

  4. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajers Vej 7D, DK-9000, Aalborg, Denmark

    Steen Andreassen

  5. School of Public Policy, University College London, 29/30 Tavistock Square, London, WC1H 9EZ, UK

    Jeremy Wyatt

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© 1999 Springer-Verlag Berlin Heidelberg

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Kókai, G., Tóth, Z., Ványi, R. (1999). Modelling Blood Vessels of the Eye with Parametric L-Systems Using Evolutionary Algorithms. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_48

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  • DOI: https://doi.org/10.1007/3-540-48720-4_48

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66162-7

  • Online ISBN: 978-3-540-48720-3

  • eBook Packages: Springer Book Archive

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