Research Article Open Access

A Hybrid Fuzzy Neural Networks for the Detection of Tumors in Medical Images

N. Benamrane1, A. Freville1 and R. Nekkache1
  • 1 ,
American Journal of Applied Sciences
Volume 2 No. 4, 2005, 892-896

DOI: https://doi.org/10.3844/ajassp.2005.892.896

Submitted On: 8 May 2006 Published On: 30 April 2005

How to Cite: Benamrane, N., Freville, A. & Nekkache, R. (2005). A Hybrid Fuzzy Neural Networks for the Detection of Tumors in Medical Images. American Journal of Applied Sciences, 2(4), 892-896. https://doi.org/10.3844/ajassp.2005.892.896

Abstract

In this study, we propose an approach to detect suspect zones or tumors in medical images. The idea is to define with precision the existence of different kinds of lesions using a hybrid system, which combines Fuzzy Neural Networks and Expert System. After applying a method of image segmentation to extract regions (by region growing algorithm or by mathematical morphology algorithm), the fuzzy neural networks detect the suspect regions, which are validated by an expert system to determine the nature of lesions. Some of experimental results on brain images show the feasibility of the proposed approach.

  • 1,115 Views
  • 1,789 Downloads
  • 9 Citations

Download

Keywords

  • fuzzy neural network
  • expert system
  • medical images
  • Tumor
  • diagnosic
  • interpretation