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Detection of Tumor in Mammographic Images by RBF Neural Network and Multi Population Genetic Algorithm

by Belgrana Fatima Zohra, Benamrane Nacera
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 3
Year of Publication: 2013
Authors: Belgrana Fatima Zohra, Benamrane Nacera
10.5120/ijais12-450669

Belgrana Fatima Zohra, Benamrane Nacera . Detection of Tumor in Mammographic Images by RBF Neural Network and Multi Population Genetic Algorithm. International Journal of Applied Information Systems. 6, 3 ( October 2013), 1-5. DOI=10.5120/ijais12-450669

@article{ 10.5120/ijais12-450669,
author = { Belgrana Fatima Zohra, Benamrane Nacera },
title = { Detection of Tumor in Mammographic Images by RBF Neural Network and Multi Population Genetic Algorithm },
journal = { International Journal of Applied Information Systems },
issue_date = { October 2013 },
volume = { 6 },
number = { 3 },
month = { October },
year = { 2013 },
issn = { 2249-0868 },
pages = { 1-5 },
numpages = {9},
url = { https://www.ijais.org/archives/volume6/number3/532-0669/ },
doi = { 10.5120/ijais12-450669 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T18:52:19.633370+05:30
%A Belgrana Fatima Zohra
%A Benamrane Nacera
%T Detection of Tumor in Mammographic Images by RBF Neural Network and Multi Population Genetic Algorithm
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 6
%N 3
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we propose an approach for detection of anomalies present in medical images. The idea is to combine tow metaphors: Neural Networks (NN) and Evolutionary Algorithm (EA) in a hybrid system. The Radial Basis Function Neural Network (RBF NN) and Multi Population Genetic Algorithm (MPGA) are coupled in one system called neural-evolutionary algorithm. After applying the growing region algorithm to extract regions, the RBF NN detects the suspect regions. Some of experimental results on mammographic images show the feasibility of the proposed approach.

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Index Terms

Computer Science
Information Sciences

Keywords

Tumor Detection Interpretation RBF NN MPGA Mammographic Images

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