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Segmentation Method of MRI Using Fuzzy Gaussian Basis Neural Network

Abstract—Considering the features of magnetic resonance imaging (MRI), a segmentation method of MRI based on fuzzy Gaussian basis neural network (FGBNN) is proposed. In proposed method, the fuzzy inference is realized by neural network. Gaussian basis function is used as fuzzy membership function, and error backpropagation (BP) algorithm is used to train the neural network. The experimental results show that the proposed method has higher segmentation precision and faster network learning speed than the segmentation method based on traditional radial basis function neural network (RBFNN).