Medical images segmentation by neuro-genetic approach

Author

Benamrane, Nacéra ; Fekir, Abdelkader

Author_Institution

Dept. of Comput. Sci., Univ. of Sci. & Technol. of "Mohamed Boudiaf" Oran, Algeria

fYear

2005

fDate

6-8 July 2005

Firstpage

981

Lastpage

986

Abstract

In this paper, we propose an approach based on the RBF neural networks and the genetic algorithms for magnetic resonance (MR) brain images segmentation. In the feature extraction stage, nine features are calculated and used as RBF network inputs. The genetic algorithm build automatically a RBF NN (It determines the number of hidden neurons, and their respective centers and radii). Nets´ fitness is calculated by using the mean square error.

Keywords

biomedical MRI; feature extraction; genetic algorithms; image segmentation; magnetic resonance imaging; medical image processing; radial basis function networks; MR brain image segmentation; RBF neural network; feature extraction; genetic algorithm; hidden neurons; magnetic resonance; mean square error; medical image segmentation; medical imagery; neuro-genetic approach; Biological neural networks; Biomedical imaging; Brain; Feature extraction; Genetic algorithms; Image segmentation; Magnetic resonance; Neural networks; Neurons; Radial basis function networks; Genetic algorithm; Medical imagery; RBF; Regions; Segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Visualisation, 2005. Proceedings. Ninth International Conference on

ISSN

1550-6037

Print_ISBN

0-7695-2397-8

Type

conf

DOI

10.1109/IV.2005.78

Filename

1509191