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» Level set image segmentation with Bayesian analysis
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143
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CAIP
2007
Springer
170views Image Analysis» more  CAIP 2007»
15 years 7 months ago
Image Segmentation Using Topological Persistence
Abstract. This paper presents a new hybrid split-and-merge image segmentation method based on computational geometry and topology using persistent homology. The algorithm uses edge...
David Letscher, Jason Fritts
ICIP
2005
IEEE
16 years 5 months ago
Asymmetric multi-phase deformable model for colon segmentation
In virtual colonography, precise segmentation is essential for accurate diagnosis. For the segmentation of colon wall, we propose a novel multi-phase deformable model using a leve...
Yong Seok Yoo, Kyoung Mu Lee, Il Dong Yun, Sang Uk...
BIOINFORMATICS
2005
93views more  BIOINFORMATICS 2005»
15 years 3 months ago
Donuts, scratches and blanks: robust model-based segmentation of microarray images
Inner holes, artifacts and blank spots are common in microarray images, but current image analysis methods do not pay them enough attention. We propose a new robust model-based me...
Qunhua Li, Chris Fraley, Roger Eugene Bumgarner, K...
127
Voted
MICCAI
2003
Springer
16 years 4 months ago
VETOT, Volume Estimation and Tracking Over Time: Framework and Validation
We have implemented an effective and publicly available tool, VETOT, to track and quantify the evolution of tumors and organs over time. VETOT includes a framework both for registr...
Jean-Philippe Guyon, Mark Foskey, Jisung Kim, Zeyn...
ICCV
1999
IEEE
16 years 5 months ago
Mean Shift Analysis and Applications
A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving l...
Dorin Comaniciu, Peter Meer