Modified radial basis function network for brain tumor classification

Authors:
S. N. Deepa;B. Aruna Devi
Affiliations:
Department of EEE, Anna University of Technology, Coimbatore, Coimbatore, India;Department of EEE, Anna University of Technology, Coimbatore, Coimbatore, India
Venue:
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Year:
2011

Citing 3
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Abstract

The study proposes a modified RBF with better network learning, convergence, error rates and classification results which involves spatial information data points using Gaussian Mixture Model (GMM) and Expectation Maximization (EM) algorithm for automatic biomedical brain tumour detection. The model was used to predict the brain tumour type (benign or malignant). The results showed outperformance of GMM-EM model with spatial points than the standard RBF model.A classification with a success of 85% and 90.3% has been obtained by the classifiers for RBF and RBF-GMM model.