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IROS
2007
IEEE
254views Robotics» more  IROS 2007»
14 years 2 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...
ISBI
2002
IEEE
14 years 8 months ago
Statistical shape models for segmentation and structural analysis
Biomedical imaging of large patient populations, both cross-sectionally and longitudinally, is becoming a standard technique for noninvasive, in-vivo studies of the pathophysiolog...
Guido Gerig, Martin Andreas Styner, Gábor S...
CVPR
2004
IEEE
14 years 9 months ago
Motion Estimation by Swendsen-Wang Cuts
Our paper has two main contributions. Firstly, it presents a model for image sequences motivated by an image encoding perspective. It models accreted regions, where objects appear...
Adrian Barbu, Alan L. Yuille
MICCAI
2004
Springer
14 years 8 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
Aly A. Farag, Hossam S. Hassan
ICDM
2006
IEEE
155views Data Mining» more  ICDM 2006»
14 years 1 months ago
Automatic Single-Organ Segmentation in Computed Tomography Images
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D...