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» Robust Fuzzy Segmentation of Magnetic Resonance Images
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ISBI
2008
IEEE
14 years 8 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...
PR
2007
340views more  PR 2007»
13 years 7 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
14 years 7 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
14 years 8 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...
TMI
2002
147views more  TMI 2002»
13 years 7 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...