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107
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ECCV
2006
Springer
16 years 2 months ago
Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...
Ashish Kapoor, John M. Winn
MICCAI
2006
Springer
16 years 1 months ago
An Energy Minimization Approach to the Data Driven Editing of Presegmented Images/Volumes
Fully automatic, completely reliable segmentation in medical images is an unrealistic expectation with today's technology. However, many automatic segmentation algorithms may ...
Leo Grady, Gareth Funka-Lea
ICPR
2008
IEEE
15 years 7 months ago
Graph cut based deformable model with statistical shape priors
This paper presents a novel graph cut based segmentation approach with shape priors. The model incorporates statistical shape prior information with the active contour without edg...
Noha Youssry El-Zehiry, Adel Elmaghraby
90
Voted
MICCAI
2002
Springer
16 years 1 months ago
Validation of Image Segmentation and Expert Quality with an Expectation-Maximization Algorithm
Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited ...
Simon K. Warfield, Kelly H. Zou, William M. Wells ...
129
Voted
MICCAI
2003
Springer
16 years 1 months ago
User-Aided Boundary Delineation through the Propagation of Implicit Representations
In this paper we introduce user-defined segmentation constraints within the level set methods. Snake-driven methods are powerful and widely explored techniques for object extractio...
Nikos Paragios