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» Shape-Based Level Set Method for Image Segmentation
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TMI
2002
146views more  TMI 2002»
14 years 9 months ago
Feature-Guided Shape-Based Image Interpolation
Abstract--A feature-guided image interpolation scheme is presented. It is an effective and improved, shape-based interpolation method used for interpolating image slices in medical...
Tong-Yee Lee, Chao-Hung Lin
MICCAI
2004
Springer
15 years 10 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
Aly A. Farag, Hossam S. Hassan
MICCAI
2000
Springer
15 years 1 months ago
Robust 3D Segmentation of Anatomical Structures with Level Sets
This paper is focused on the use of the level set formalism to segment anatomical structures in 3D images (ultrasound ou magnetic resonance images). A closed 3D surface propagates...
C. Baillard, Christian Barillot
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
CVPR
2009
IEEE
16 years 4 months ago
Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields
We propose a novel approach for improving level set seg- mentation methods by embedding the potential functions from a discriminatively trained conditional random field (CRF) in...
Dana Cobzas (University of Alberta), Mark Schmidt ...