DocumentCode :
3613922
Title :
Learning to interpret medical images
Author :
C. Taylor;T. Cootes;R. Davies;C. Twining
Author_Institution :
Imaging Sci. & Biomed. Eng., Manchester Univ., UK
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
34
Lastpage :
37
Abstract :
Statistical shape and appearance models are proving valuable tools for medical image analysis. In this paper we outline the methodology and highlight important recent developments. In particular, we consider an extension to images of differing modality, and describe an optimisation approach to establishing correspondences across a training set of shapes.
Keywords :
"Biomedical imaging","Shape control","Vectors","Image analysis","Shape measurement","Principal component analysis","Biomedical engineering","Biomedical measurements","Size measurement","Data analysis"
Publisher :
ieee
Conference_Titel :
Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7584-X
Type :
conf
DOI :
10.1109/ISBI.2002.1029186
Filename :
1029186
Link To Document :
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