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» A probabilistic framework for image segmentation
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IPMI
2001
Springer
16 years 15 days ago
Multi-scale 3-D Deformable Model Segmentation Based on Medial Description
This paper presents a Bayesian multi-scale three dimensional deformable template approach based on a medial representation for the segmentation and shape characterization of anatom...
Sarang C. Joshi, Stephen M. Pizer, P. Thomas Fletc...
CGF
2010
128views more  CGF 2010»
14 years 11 months ago
ProbExplorer: Uncertainty-guided Exploration and Editing of Probabilistic Medical Image Segmentation
In this paper, we develop an interactive analysis and visualization tool for probabilistic segmentation results in medical imaging. We provide a systematic approach to analyze, in...
Ahmed Saad, Torsten Möller, Ghassan Hamarneh
ECCV
2000
Springer
16 years 1 months ago
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach
Abstract. This paper presents anovel variational method forimage segmentation that uni es boundary and region-based information sources under the Geodesic Active Region framework. ...
Nikos Paragios, Rachid Deriche
ICIAR
2011
Springer
14 years 3 months ago
A Texture-Based Probabilistic Approach for Lung Nodule Segmentation
Producing consistent segmentations of lung nodules in CT scans is a persistent problem of image processing algorithms. Many hard-segmentation approaches are proposed in the literat...
Olga Zinoveva, Dmitry Zinovev, Stephen A. Siena, D...
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ECCV
2008
Springer
16 years 1 months ago
What Is a Good Image Segment? A Unified Approach to Segment Extraction
Abstract. There is a huge diversity of definitions of "visually meaningful" image segments, ranging from simple uniformly colored segments, textured segments, through sym...
Shai Bagon, Oren Boiman, Michal Irani