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