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» 3D Brain Tumor Segmentation Using Level-Sets Method
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CAIP
2007
Springer
143views Image Analysis» more  CAIP 2007»
14 years 1 months ago
A Level Set Bridging Force for the Segmentation of Dendritic Spines
The paper focusses on a group of segmentation problems dealing with 3D data sets showing thin objects that appear disconnected in the data due to partial volume effects or a large...
Karsten Rink, Klaus D. Tönnies
ICPR
2008
IEEE
14 years 8 months ago
Phase based level set segmentation of blood vessels
The segmentation and analysis of blood vessels has received much attention in the research community. The results aid numerous applications for diagnosis and treatment of vascular...
Gunnar Läthén, Jimmy Jonasson, Magnus ...
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
ICIP
2003
IEEE
14 years 9 months ago
Brain tumor boundary detection in MR image with generalized fuzzy operator
Boundary detection in MR image with brain tumor is an important image processiug technique applied in Radiology for 3D reconstruction. The nonhomogeneities density tissue of the br...
C. C. Leung, W. F. Chen, Paul C. K. Kwok, Francis ...
EMMCVPR
2005
Springer
14 years 1 months ago
A New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images
Abstract. We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two known curves (the constr...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi