Implicit active shape model employing boundary classifier

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.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Andreas Wimmer, Joachim Hornegger, Grzegorz Soza
• Keywords: Computed Tomography Slice, Computer Vision, ICPR 2008, Implicit Active Shape, Shape Model Deformation