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» Active Region Models for Segmenting Medical Images
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ICPR
2004
IEEE
14 years 10 months ago
Robust Modelling of Local Image Structures and Its Application to Medical Imagery
A robust modelling method for detecting and measuring isotropic, linear features and bifurcations is described and applied to analysing 2d eletrophoresis and retinal images. Featu...
Li Wang, Abhir Bhalerao, Roland Wilson
MICCAI
2002
Springer
14 years 9 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
FGR
2004
IEEE
114views Biometrics» more  FGR 2004»
14 years 17 days ago
Combining Motion Segmentation with Tracking for Activity Analysis
We explore a novel motion feature as the appropriate basis for classifying or describing a number of fine motor human activities.Ourapproach not only estimates motion directions a...
Jiang Gao, Alexander G. Hauptmann, Howard D. Wactl...
MICCAI
2009
Springer
14 years 10 months ago
Enforcing Monotonic Temporal Evolution in Dry Eye Images
We address the problem of identifying dry areas in the tear film as part of a diagnostic tool for dry-eye syndrome. The requirement is to identify and measure the growth of the dry...
Tamir Yedidya, Peter Carr, Richard Hartley, Jea...
MICCAI
1999
Springer
14 years 1 months ago
Statistical Segmentation of fMRI Activations Using Contextual Clustering
Abstract. A central problem in the analysis of functional magnetic resonance imaging (fMRI) data is the reliable detection and segmentation of activated areas. Often this goal is a...
Eero Salli, Ari Visa, Hannu J. Aronen, Antti Korve...