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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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ECCV
2004
Springer
14 years 1 months ago
A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images
Anatomical shapes present a unique problem in terms of accurate representation and medical image segmentation. Three-dimensional (3D) statistical shape models have been extensivel...
Eric Berg, Mohamed Mahfouz, Christian Debrunner, W...
MICCAI
2006
Springer
14 years 8 months ago
An Energy Minimization Approach to the Data Driven Editing of Presegmented Images/Volumes
Fully automatic, completely reliable segmentation in medical images is an unrealistic expectation with today's technology. However, many automatic segmentation algorithms may ...
Leo Grady, Gareth Funka-Lea
IPMI
2005
Springer
14 years 8 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
ECCV
2006
Springer
14 years 9 months ago
A Learning Based Approach for 3D Segmentation and Colon Detagging
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
Zhuowen Tu, Xiang Zhou, Dorin Comaniciu, Luca Bogo...
MICCAI
2005
Springer
14 years 8 months ago
Automatic Segmentation of the Left Ventricle in 3D SPECT Data by Registration with a Dynamic Anatomic Model
We present a fully automatic 3D segmentation method for the left ventricle (LV) in human myocardial perfusion SPECT data.
Lars Dornheim, Klaus D. Tönnies, Kat Dixon