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Reseach Article

Simulating the Tumor Growth with Cellular Automata Models

by S. Zouhri, S. Saadi, M. Rachik
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 14
Year of Publication: 2014
Authors: S. Zouhri, S. Saadi, M. Rachik
10.5120/18977-0392

S. Zouhri, S. Saadi, M. Rachik . Simulating the Tumor Growth with Cellular Automata Models. International Journal of Computer Applications. 108, 14 ( December 2014), 5-11. DOI=10.5120/18977-0392

@article{ 10.5120/18977-0392,
author = { S. Zouhri, S. Saadi, M. Rachik },
title = { Simulating the Tumor Growth with Cellular Automata Models },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 14 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number14/18977-0392/ },
doi = { 10.5120/18977-0392 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:42:57.273488+05:30
%A S. Zouhri
%A S. Saadi
%A M. Rachik
%T Simulating the Tumor Growth with Cellular Automata Models
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 14
%P 5-11
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, two types of cellular automata are studied in order to describe the 2-dimensional free growth of an avascular tumor under the effect of a limited nutrient source. On one hand a deterministic cellular automata approach is used. On the other hand a stochastic one is presented. An existing reaction-diffusion model including cell proliferation, motility and death is used. Finally, a numerical simulations that show the difference between these approaches are discussed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cellular automata (CA) avascular tumor immune reaction-diffusion model stochastic CA deterministic CA