Title :
LSB neural network based segmentation of MR brain images
Author :
Li, Yan ; Wen, Peng ; Powers, David ; Clark, C. Richard
Author_Institution :
Sch. of Inf. & Eng., Flinders Univ. of South Australia, Bedford Park, SA, Australia
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
Keywords :
backpropagation; biomedical MRI; feedforward neural nets; image segmentation; medical image processing; neurophysiology; brain images; image segmentation; least square backpropagation; magnetic resonance imaging; multilayer neural network; multimodal medical images; Australia; Backpropagation algorithms; Biological neural networks; Brain; Humans; Image segmentation; Informatics; Least squares methods; Neuroscience; Power engineering and energy;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.816657
