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» A probabilistic framework for image segmentation
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IPMI
2001
Springer
14 years 8 months 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»
13 years 7 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
14 years 9 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
12 years 11 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...
ECCV
2008
Springer
14 years 9 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