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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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MVA
2007
149views Computer Vision» more  MVA 2007»
13 years 9 months ago
Fast Graph Segmentation Based on Statistical Aggregation Phenomena
In this paper, we first generalize a recent statistical color image segmentation algorithm [5] to arbitrary graphs, and report its performance for 2D images, 3D meshes and volume...
Frank Nielsen, Richard Nock
MICCAI
2006
Springer
14 years 8 months ago
A General Framework for Image Segmentation Using Ordered Spatial Dependency
The segmentation problem appears in most medical imaging applications. Many research groups are pushing toward a whole body segmentation based on atlases. With a similar objective,...
Mikaël Rousson, Chenyang Xu
DAGM
2010
Springer
13 years 8 months ago
Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
Margret Keuper, Robert Bensch, Karsten Voigt, Alex...
CBMS
2007
IEEE
14 years 2 months ago
An Unsupervised and Fully-Automated Image Analysis Method for cDNA Microarrays
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
Eleni Zacharia, Dimitrios E. Maroulis
IJISTA
2008
87views more  IJISTA 2008»
13 years 7 months ago
On fusion of range and intensity information using Graph-Cut for planar patch segmentation
: Planar patch detection aims at simplifying data from 3-D imaging sensors to a more compact scene description. We propose a fusion of intensity and depth information using Graph-C...
Olaf Kähler, Erik Rodner, Joachim Denzler