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» An Adaptive Level Set Method for Medical Image Segmentation
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ICSAP
2010
15 years 1 months ago
An Enhanced Implementation of Brain Tumor Detection Using Segmentation Based on Soft Computing
—Image Segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phas...
T. Logeswari, M. Karnan
SMI
2006
IEEE
134views Image Analysis» more  SMI 2006»
15 years 3 months ago
Evolution of T-Spline Level Sets with Distance Field Constraints for Geometry Reconstruction and Image Segmentation
We study the evolution of T-spline level sets (i.e, implicitly defined T-spline curves and surfaces). The use of T-splines leads to a sparse representation of the geometry and al...
Huaiping Yang, Matthias Fuchs, Bert Jüttler, ...
CVPR
2010
IEEE
15 years 5 months ago
Multi-domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU
Level set method based segmentation provides an efficient tool for topological and geometrical shape handling. Conventional level set surfaces are only C0 continuous since the le...
Ojaswa Sharma, Qin Zhang, Françs Anton, Chandraji...
75
Voted
CAIP
2007
Springer
209views Image Analysis» more  CAIP 2007»
15 years 3 months ago
Delaunay-Based Vector Segmentation of Volumetric Medical Images
The image segmentation plays an important role in medical image processing. Many segmentation algorithms exist. Most of them produce raster data which is not suitable for 3D geomet...
Michal Spanel, Premysl Krsek, Miroslav Svub, V&iac...
90
Voted
MICCAI
2008
Springer
15 years 10 months ago
Active Volume Models with Probabilistic Object Boundary Prediction Module
We propose a novel Active Volume Model (AVM) which deforms in a free-form manner to minimize energy. Unlike Snakes and level-set active contours which only consider curves or surfa...
Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou H...