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MICCAI
2008
Springer
14 years 8 months ago
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...
MICCAI
2006
Springer
14 years 8 months ago
Logarithm Odds Maps for Shape Representation
The concept of the Logarithm of the Odds (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology. Here, we utilize LogOdds for a shape repr...
Kilian M. Pohl, John W. Fisher III, Martha Elizabe...
MICCAI
2009
Springer
14 years 4 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
JMIV
2006
166views more  JMIV 2006»
13 years 7 months ago
Fast Surface Segmentation Guided by User Input Using Implicit Extension of Minimal Paths
We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two or more known curves (the constrai...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
MICCAI
2010
Springer
13 years 6 months ago
Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs
In this paper we propose a Markov random field (MRF) based method for joint registration and segmentation of cardiac perfusion images, specifically the left ventricle (LV). MRFs ...
Dwarikanath Mahapatra, Ying Sun