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» An Adaptive Level Set Method for Medical Image Segmentation
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MICCAI
1998
Springer
15 years 1 months ago
Segmentation and Measurement of the Cortex from 3D MR Images
The cortex is the outermost thin layer of gray matter in the brain; geometric measurement of the cortex helps in understanding brain anatomy and function. In the quantitative analy...
Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz...
PAMI
2006
111views more  PAMI 2006»
14 years 9 months ago
Global Segmentation and Curvature Analysis of Volumetric Data Sets Using Trivariate B-Spline Functions
This paper presents a method to globally segment volumetric images into regions that contain convex or concave (elliptic) iso-surfaces, planar or cylindrical (parabolic) iso-surfa...
Octavian Soldea, Gershon Elber, Ehud Rivlin
85
Voted
ICIAR
2005
Springer
15 years 3 months ago
A New Method for DNA Microarray Image Segmentation
One of the key issues in microarray analysis is to extract quantitative information from the spots, which represents gene expression levels in the experiments. The process of ident...
Luís G. Rueda, Li Qin
BILDMED
2008
188views Algorithms» more  BILDMED 2008»
14 years 11 months ago
4D Endocardial Segmentation Using Spatio-temporal Appearance Models and Level Sets
In this paper a framework for the segmentation of cardiac MR image sequences using spatio-temporal appearance models is presented. The method splits the 4D space into 2 separate su...
Karl D. Fritscher, Rainer Schubert
ICPR
2002
IEEE
15 years 10 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