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» A probabilistic framework for image segmentation
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MICCAI
2006
Springer
14 years 8 months ago
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification
Abstract. This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multis...
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John G...
ISBI
2008
IEEE
14 years 8 months ago
A quantification framework for post-lesion neo-vascularization in retinal angiography
We describe an image processing framework designed to detect and quantify the genesis of microscopic choroidal blood vessels. We used fluorescein angiography to monitor the dynami...
Sylvain Takerkart, Romain Fenouil, Jérome P...
CVPR
2005
IEEE
14 years 10 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
GBRPR
2009
Springer
14 years 2 months ago
An Irregular Pyramid for Multi-scale Analysis of Objects and Their Parts
We present an irregular image pyramid which is derived from multi-scale analysis of segmented watershed regions. Our framework is based on the development of regions in the Gaussia...
Martin Drauschke
ICCV
2009
IEEE
15 years 28 days ago
Level Set Segmentation with Both Shape and Intensity Priors
We present a new variational level-set-based segmentation formulation that uses both shape and intensity prior information learned from a training set. By applying Bayes’ rule...
Siqi Chen and Richard J. Radke