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PAMI
2012
13 years 6 months ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
ISBI
2006
IEEE
15 years 9 months ago
TOADS: topology-preserving, anatomy-driven segmentation
This paper presents a new framework for multiple object segmentation in medical images that respects the topological properties and anatomical relationships of structures as given...
Pierre-Louis Bazin, Dzung L. Pham
ICASSP
2010
IEEE
15 years 4 months ago
A shape-based framework to segmentation of tongue contours from MRI data
DIn this paper 1 , we propose a shape-based variational framework to curve evolution for the segmentation of tongue contours from MRI mid-sagittal images. In particular, we first...
Ting Peng, Erwan Kerrien, Marie-Odile Berger
ICIP
2005
IEEE
16 years 5 months ago
A hybrid medical image segmentation approach based on dual-front evolution model
In this paper, a hybrid medical image segmentation approach is proposed based on a dual front evolution and fast sweeping evolution. This approach is composed of two stages. In th...
Hua Li, Anthony J. Yezzi
113
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IPMI
2007
Springer
16 years 4 months ago
Geometrically Proper Models in Statistical Training
In deformable model segmentation, the geometric training process plays a crucial role in providing shape statistical priors and appearance statistics that are used as likelihoods. ...
Qiong Han, Derek Merck, Josh Levy, Christina Villa...