Modelling Blood Vessel of the Eye with Parametric
L-Systems Using Evolutionary Algorithms
G. Kókai, Z. Tóth, and R. Ványi. Artificial Intelligence in Medicine, Proceedings of
the Joint European Conference on Artificial
Intelligence in Medicine and Medical Decision Making,
AIMDM'99, volume 1620 of Lecture Notes of Computer Science, page 433--443. Aalborg, Denmark, Springer-Verlag, (20-24 June 1999)
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.
Artificial Intelligence in Medicine, Proceedings of
the Joint European Conference on Artificial
Intelligence in Medicine and Medical Decision Making,
AIMDM'99
%0 Conference Paper
%1 kokai1999-2
%A Kókai, Gabriella
%A Tóth, Zoltán
%A Ványi, Robert
%B Artificial Intelligence in Medicine, Proceedings of
the Joint European Conference on Artificial
Intelligence in Medicine and Medical Decision Making,
AIMDM'99
%C Aalborg, Denmark
%D 1999
%E Horn, W.
%E Shahar, Y.
%E Lindberg, G.
%E Andreassen, S.
%E Wyatt, Jeremy C.
%I Springer-Verlag
%K Computer L-systems, algorithms, and genetic image interpretation lindenmayer programming, signal vision,
%P 433--443
%T Modelling Blood Vessel of the Eye with Parametric
L-Systems Using Evolutionary Algorithms
%U http://link.springer.de/link/service/series/0558/papers/1620/16200433.pdf
%V 1620
%X 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.
%@ 3-540-66162-X
@inproceedings{kokai1999-2,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Aalborg, Denmark},
author = {K\'okai, Gabriella and T\'oth, Zolt\'an and V\'anyi, Robert},
biburl = {https://www.bibsonomy.org/bibtex/2f07c770fe3727942b1a2022750295c7e/brazovayeye},
booktitle = {Artificial Intelligence in Medicine, Proceedings of
the Joint European Conference on Artificial
Intelligence in Medicine and Medical Decision Making,
AIMDM'99},
editor = {Horn, W. and Shahar, Y. and Lindberg, G. and Andreassen, S. and Wyatt, Jeremy C.},
interhash = {13b1dd4247a69758ecdaa98ec474cbea},
intrahash = {f07c770fe3727942b1a2022750295c7e},
isbn = {3-540-66162-X},
keywords = {Computer L-systems, algorithms, and genetic image interpretation lindenmayer programming, signal vision,},
month = {20-24 June},
pages = {433--443},
publisher = {Springer-Verlag},
series = {Lecture Notes of Computer Science},
timestamp = {2008-06-19T17:43:35.000+0200},
title = {Modelling Blood Vessel of the Eye with Parametric
{L}-Systems Using Evolutionary Algorithms},
url = {http://link.springer.de/link/service/series/0558/papers/1620/16200433.pdf},
volume = 1620,
year = 1999
}