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» Active Region Models for Segmenting Medical Images
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FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
14 years 3 months ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
MICCAI
2003
Springer
14 years 9 months ago
Quantifying Evolving Processes in Multimodal 3D Medical Images
Quantitative measurements of changes in evolving brain pathology, such as multiple sclerosis lesions and brain tumors, are important for clinicians to perform pertinent diagnoses a...
Yuhang Wang, Tilmann Steinberg, Fillia Makedon, Ja...
DICTA
2003
13 years 10 months ago
Volumetric Medical Imaging Environment
We describe a graphical tool for analysis and visualization of three dimensional medical data. The application is intended to help physicians interpret the geometric structures of ...
Bobi Gilburd, Michal Holtzman-Gazit, Alon Spira, D...
IPMI
2005
Springer
14 years 2 months ago
Robust Active Appearance Model Matching
A novel robust active appearance model (AAM) matching algorithm is presented. The method consists of two main stages. First, initial residuals are clustered by a non parametric mea...
Reinhard Beichel, Horst Bischof, Franz Leberl, Mil...
ISBI
2004
IEEE
14 years 9 months ago
Performance-Based Multi-Classifier Decision Fusion for Atlas-Based Segmentation of Biomedical Images
Combinations of multiple classifiers have been found to be consistently more accurate than a single classifier. The construction of multiple independent classifiers, however, is t...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...