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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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129
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MICCAI
2003
Springer
16 years 2 months ago
Interactive, GPU-Based Level Sets for 3D Segmentation
While level sets have demonstrated a great potential for 3D medical image segmentation, their usefulness has been limited by two problems. First, 3D level sets are relatively slow ...
Aaron E. Lefohn, Joshua E. Cates, Ross T. Whitaker
146
Voted
MICCAI
2010
Springer
15 years 8 days ago
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Chaohui Wang, Olivier Teboul, Fabrice Michel, Salm...
134
Voted
JMM2
2007
221views more  JMM2 2007»
15 years 1 months ago
Automatic Extraction of Femur Contours from Calibrated X-Ray Images using Statistical Information
— Automatic identification and extraction of bone contours from x-ray images is an essential first step task for further medical image analysis. In this paper we propose a 3D s...
Xiao Dong, Miguel Ángel González Bal...
136
Voted
MICCAI
2005
Springer
16 years 2 months ago
2D and 3D Shape Based Segmentation Using Deformable Models
A novel shape based segmentation approach is proposed by modifying the external energy component of a deformable model. The proposed external energy component depends not only on t...
Ayman El-Baz, Seniha Esen Yuksel, Hongjian Shi, Al...
107
Voted
IPMI
2003
Springer
16 years 2 months ago
Fusion of Autoradiographies with an MR Volume Using 2-D and 3-D Linear Transformations
The recent development of 3-D medical imaging devices has given access to the 3-D imaging of in vivo tissues, from an anatomical (MR, CT) or even functional point of view (fMRI, PE...
Eric Bardinet, Grégoire Malandain