Modified Radial Basis Function Network for Brain Tumor Classification
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.
KeywordsExpectation Maximization Gaussian Mixture Model Radial Basis Function Network Expectation Maximization Algorithm Back Propagation Network
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