Implicit active shape model employing boundary classifier

Wimmer A, Hornegger J, Soza G (2008)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2008

Journal

Proceedings - International Conference on Pattern Recognition

Original Authors: Wimmer A., Hornegger J., Soza G.

Book Volume: null

Pages Range: 1 - 4

Event location: Tampa, FL

Journal Issue: null

DOI: 10.1109/ICPR.2008.4760968

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. © 2008 IEEE.

Authors with CRIS profile

Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)

Involved external institutions

Siemens AG DE Germany (DE)

How to cite

APA:

Wimmer, A., Hornegger, J., & Soza, G. (2008). Implicit active shape model employing boundary classifier. In Proceedings of the 2008 19th International Conference on Pattern Recognition, ICPR 2008 (pp. 1 - 4). Tampa, FL.

MLA:

Wimmer, Andreas, Joachim Hornegger, and Grzegorz Soza. "Implicit active shape model employing boundary classifier." Proceedings of the 2008 19th International Conference on Pattern Recognition, ICPR 2008, Tampa, FL 2008. 1 - 4.

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