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» A Statistical Shape Model for the Liver
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MICCAI
2002
Springer
14 years 5 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
IPMI
2007
Springer
14 years 5 months ago
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support
Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
ICPR
2008
IEEE
14 years 5 months ago
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 detec...
Andreas Wimmer, Joachim Hornegger, Grzegorz Soza
IPMI
2007
Springer
14 years 5 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
ISBI
2008
IEEE
14 years 5 months ago
Liver metastasis early detection using fMRI based statistical model
Moti Freiman, Yifat Edrei, Eitan Gross, Leo Joskow...