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» Active Volume Models for Medical Image Segmentation
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100
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ICPR
2004
IEEE
16 years 4 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
118
Voted
MICCAI
2002
Springer
16 years 4 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
129
Voted
MICCAI
1999
Springer
15 years 7 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...
MICCAI
2009
Springer
16 years 4 months ago
Fast and Robust 3-D MRI Brain Structure Segmentation
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
Michael Wels, Yefeng Zheng, Gustavo Carneiro, M...
ICIP
2001
IEEE
16 years 5 months ago
Region-based approach for discriminant snakes
This paper proposes a statistic framework for segmenting textured areas over real images by discriminant snakes. Our active contour model has the ability to learn different textur...
Jordi Vitrià, Petia Radeva