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» A Fast Optimization Method for Level Set Segmentation
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IPMI
2007
Springer
16 years 13 days ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
87
Voted
IBPRIA
2007
Springer
15 years 5 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...
105
Voted
ISVC
2010
Springer
14 years 10 months ago
Robust Rigid Shape Registration Method Using a Level Set Formulation
Abstract. This paper presents a fast algorithm for robust registration of shapes implicitly represented by signed distance functions(SDF). The proposed algorithm aims to recover th...
Muayed S. Al-Huseiny, Sasan Mahmoodi, Mark S. Nixo...
ICPR
2006
IEEE
16 years 21 days ago
Smoothing with Active Surfaces: A Multiphase Level Set Approach
In this paper, we propose to use an active contour method to attract active surfaces towards non-smoothed segmentation masks. To achieve this task, we introduce a new region-based...
Cedric De Roover, Jacek Czyz, Benoit M. Macq
APIN
2007
172views more  APIN 2007»
14 years 11 months ago
A genetically optimized level set approach to segmentation of thyroid ultrasound images
This paper presents a novel framework for thyroid ultrasound image segmentation that aims to accurately delineate thyroid nodules. This framework, named GA-VBAC incorporates a leve...
Dimitrios K. Iakovidis, Michalis A. Savelonas, Sta...