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Simulating the Tumor Growth with Cellular Automata Models

by S. Zouhri, S. Saadi, M. Rachik
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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

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