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.
['Nacéra Benamrane', 'Abdelkader Fekir']
Medical images segmentation by neuro-genetic approach