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» A statistical framework for DTI segmentation
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SIBGRAPI
2006
IEEE
15 years 5 months ago
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
Carlos E. Thomaz, Nelson A. O. Aguiar, Sergio H. A...
CVPR
2009
IEEE
16 years 6 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
IJCV
2006
266views more  IJCV 2006»
14 years 11 months ago
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
In this paper, we make two contributions to the field of level set based image segmentation. Firstly, we propose shape dissimilarity measures on the space of level set functions wh...
Daniel Cremers, Stanley Osher, Stefano Soatto
TIP
2008
152views more  TIP 2008»
14 years 11 months ago
Localizing Region-Based Active Contours
Abstract--In this paper, we propose a natural framework that allows any region-based segmentation energy to be re-formulated in a local way. We consider local rather than global im...
Shawn Lankton, Allen Tannenbaum
SSIAI
2000
IEEE
15 years 4 months ago
Unsupervised Dempster-Shafer Fusion of Dependent Sensors
This paper deals with the problem of statistical unsupervised fusion of dependent sensors with its potential applications to multisensor image segmentation. On the one hand, Bayes...
Wojciech Pieczynski