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» Robust Fuzzy Segmentation of Magnetic Resonance Images
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ISBI
2008
IEEE
15 years 10 months ago
Coupled nonparametric shape priors for segmentation of multiple basal ganglia structures
This paper presents a new method for multiple structure segmentation, using a maximum a posteriori (MAP) estimation framework, based on prior shape densities involving nonparametr...
Aytül Erçil, Gozde B. Unal, Müjda...
106
Voted
PR
2007
340views more  PR 2007»
14 years 9 months ago
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation
— Fuzzy c-means (FCM) algorithms with spatial constraints (FCM_S) have been proven effective for image segmentation. However, they still have the following disadvantages: 1) Alth...
Weiling Cai, Songcan Chen, Daoqiang Zhang
ICIAP
2001
Springer
15 years 9 months ago
Representing Volumetric Vascular Structures Using Curve Skeletons
This paper describes a technique to represent relevant information of tree-like structures in a compact way. The technique is general. In the application described here, the image...
Gabriella Sanniti di Baja, Ingela Nyström, St...
ISBI
2006
IEEE
15 years 10 months ago
Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model
This paper presents a novel hybrid segmentation technique incorporating a statistical as well as a geometric model in a unified segmentation scheme for brain tissue segmentation o...
Albert Huang, Rafeef Abugharbieh, Roger Tam, Antho...
66
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TMI
2002
147views more  TMI 2002»
14 years 9 months ago
Cortex Segmentation - A Fast Variational Geometric Approach
An automatic cortical gray matter segmentation from a three-dimensional (3-D) brain images [magnetic resonance (MR) or computed tomography] is a well known problem in medical image...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...