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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25822

Title: LSB neural network based segmentation of MR brain images
Authors: Li, Yan
Wen, Peng
Powers, David Martin
Clark, Christopher Richard
Keywords: Neural nets
Image segmentation
Neurophysiology
Issue Date: 1999
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Li, Y., Wen, P., Powers, D. and Clark, C.R. 1999. LSB neural network based segmentation of MR brain images. 1999 IEEE International Conference on Systems, Man, and Cybernetics, vol. 6, 822-825.
Abstract: Least square backpropagation (LSB) algorithm is employed to train a three-layer neural network for segmentation of magnetic resonance (MR) brain images. The simulation results demonstrate the use of LSB algorithm as a promising method for the segmentation of multi-modal medical images. The training time has been dramatically reduced comparing with that of BP network. The influence of the number of neurones in the hidden layer of the network is discussed in the paper.
URI: http://hdl.handle.net/2328/25822
ISBN: 0780357310
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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