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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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BMCBI
2010
268views more  BMCBI 2010»
13 years 7 months ago
A high-level 3D visualization API for Java and ImageJ
Background: Current imaging methods such as Magnetic Resonance Imaging (MRI), Confocal microscopy, Electron Microscopy (EM) or Selective Plane Illumination Microscopy (SPIM) yield...
Benjamin Schmid, Johannes E. Schindelin, Albert Ca...
JIPS
2006
71views more  JIPS 2006»
13 years 7 months ago
Scenario-based 3D Objects Synthesizing System Design
: This paper proposes the framework of the scenario-based 3D image synthesizing system that allows common users who envision a scenario in their mind to realize it into the segment...
Ji-Seung Nam, Hui Gao, Mi-Young Kang, Kyoung-Tae K...
MICCAI
2002
Springer
14 years 8 months ago
Validation of Image Segmentation and Expert Quality with an Expectation-Maximization Algorithm
Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited ...
Simon K. Warfield, Kelly H. Zou, William M. Wells ...
FIMH
2009
Springer
13 years 5 months ago
Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography
Automatic delineation of the myocardium in real-time 3D echocardiography may be used to aid the diagnosis of heart problems such as ischaemia, by enabling quantification of wall th...
Victor S. Lempitsky, Michael Verhoek, J. Alison No...
MICCAI
2004
Springer
14 years 8 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...