DocumentCode
3476394
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
Volume
6
fYear
1999
fDate
1999
Firstpage
822
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location
Tokyo
ISSN
1062-922X
Print_ISBN
0-7803-5731-0
Type
conf
DOI
10.1109/ICSMC.1999.816657
Filename
816657
Link To Document