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» Image Segmentation - A Survey of Soft Computing Approaches
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MICCAI
2003
Springer
16 years 16 days ago
Soft Tissue Simulation Based on Measured Data
Using methods from the computational sciences to improve the quality of health care is an important part of current medical progress. A particulary complex field is surgery simulat...
Gerhard F. Buess, Joachim Gross, Michael Hauth, Wo...
CVPR
1997
IEEE
15 years 3 months ago
Empirical Bayesian EM-based Motion Segmentation
A recent trend in motion-based segmentation has been to rely on statistical procedures derived from ExpectationMaximization (EM) principles. EM-based approaches have various attra...
Nuno Vasconcelos, Andrew Lippman
CVPR
2003
IEEE
16 years 1 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
PAMI
2006
181views more  PAMI 2006»
14 years 11 months ago
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
Efficient segmentation of globally optimal surfaces representing object boundaries in volumetric data sets is important and challenging in many medical image analysis applications....
Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka
CVPR
2007
IEEE
16 years 1 months ago
A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation
In this paper we derive differential equations for evolving radial basis functions (RBFs) to solve segmentation problems. The differential equations result from applying variation...
Greg G. Slabaugh, Huong Quynh Dinh, Gozde B. Unal