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» Contour Extraction in Medical Images Using B-Snake Model
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MICCAI
2002
Springer
15 years 10 months ago
Accurate and High Quality Triangle Models from 3D Grey Scale Images
Visualization of medical data requires the extraction of surfaces that represent the boundaries of objects of interest. This paper describes a method that combines finding these bo...
Paul W. de Bruin, P. M. van Meeteren, Frans Vos, A...
CVPR
2007
IEEE
14 years 11 months ago
Topology-preserving Geometric Deformable Model on Adaptive Quadtree Grid
Topology-preserving geometric deformable models (TGDMs) are used to segment objects that have a known topology. Their accuracy is inherently limited, however, by the resolution of...
Ying Bai, Xiao Han, Jerry L. Prince
CIS
2004
Springer
15 years 2 months ago
Automatic Segmentation Technique Without User Modification for 3D Visualization in Medical Images
Abstract. It is necessary to analyze an image from CT or MR and then to segment an image of a certain organ from that of other tissues for 3D (ThreeDimensional) visualization. Ther...
Won Seong, Eui-Jeong Kim, Jong-Won Park
EVOW
2006
Springer
15 years 1 months ago
Artificial Life Models in Lung CTs
A new method for the analysis of 3D medical images is introduced. The algorithm is based on Biological Models of ants known as Artificial Life models. Test images (lung Computed To...
Sorin Cristian Cheran, Gianfranco Gargano
BIBM
2009
IEEE
190views Bioinformatics» more  BIBM 2009»
14 years 7 months ago
A Fast, Semi-automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging
Abstract--Medical image segmentation has become an essential technique in clinical and research-oriented applications. Because manual segmentation methods are tedious, and fully au...
Kevin Karsch, Qing He, Ye Duan