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» A Statistical Shape Model for the Liver
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MICCAI
2002
Springer
15 years 10 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
15 years 10 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
15 years 10 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
15 years 10 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
15 years 10 months ago
Liver metastasis early detection using fMRI based statistical model
Moti Freiman, Yifat Edrei, Eitan Gross, Leo Joskow...