DocumentCode
2472174
Title
Implicit active shape model employing boundary classifier
Author
Wimmer, Andreas ; Hornegger, Joachim ; Soza, Grzegorz
Author_Institution
Dept. of Pattern Recognition, Friedrich-Alexander Univ. Erlangen-Nuremberg, Erlangen, Germany
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
We present an algorithm for the segmentation of the liver in 2-D computed tomography slice images. The basis for our algorithm is an implicit active shape model. In order to detect the liver boundary and guide the shape model deformation, a boundary classifier has been integrated into the implicit framework in a novel manner. The accuracy of the algorithm has been evaluated for 20 test cases including both normal and abnormal livers.
Keywords
computerised tomography; image classification; liver; medical image processing; 2D computed tomography; boundary classifier; implicit active shape model; liver segmentation; Active contours; Active shape model; Computed tomography; Deformable models; Image segmentation; Liver; Medical services; Pattern recognition; Robustness; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4760968
Filename
4760968
Link To Document