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PAMI
2010
417views more  PAMI 2010»
13 years 5 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
ICPR
2000
IEEE
14 years 8 months ago
Cooperation between Level Set Techniques and Dense 3D Registration for the Segmentation of Brain Structures
This paper presents a cooperative strategy between volumetric registration and segmentation. The segmentation method is based on the level set formalism. Starting from an initial ...
C. Baillard, Pierre Hellier, Christian Barillot
MICCAI
2002
Springer
14 years 8 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
MICCAI
2003
Springer
14 years 8 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
ICPR
2002
IEEE
14 years 8 months ago
Fast Extraction of Tubular and Tree 3D Surfaces with Front Propagation Methods
We present a new fast approach for surface segmentation of thin structures, like vessels and vascular trees, based on Fast Marching and Level Sets methods. Fast Marching allows se...
Thomas Deschamps, Laurent D. Cohen