DocumentCode :
314653
Title :
On a hybrid watershed-neural network approach for the segmentation of high field MR images of the spinal cord
Author :
Heirman, P. ; Serneels, R. ; Vandersteen, M. ; Gelan, J. ; Beuls, E.
Author_Institution :
Limburgs Univ. Centrum, Diepenbeek, Belgium
Volume :
1
fYear :
1997
fDate :
14-17 Jul 1997
Firstpage :
390
Abstract :
We describe a general method for extraction of an image object based on an approximate knowledge of its shape and its position in the image. The method is a combination of the watershed approach and neural networks. It is applied to high field MR images of a section of a spinal cord for the extraction of the shape of the grey matter
Keywords :
medical image processing; Hopfield neural network; general method; grey matter; high field MR image segmentation; hybrid watershed-neural network; image object extraction; image position; image shape; spinal cord;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and Its Applications, 1997., Sixth International Conference on
Conference_Location :
Dublin
ISSN :
0537-9989
Print_ISBN :
0-85296-692-X
Type :
conf
DOI :
10.1049/cp:19970922
Filename :
615064
Link To Document :
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