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» Active Volume Models for 3D Medical Image Segmentation
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ICPR
2002
IEEE
14 years 8 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai
CVPR
2006
IEEE
14 years 9 months ago
Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis
We present a novel approach to the segmentation and analysis of vasculature from volumetric medical image data. Our method is an adoption and significant extension of deformable o...
Chris McIntosh, Ghassan Hamarneh
MICCAI
2009
Springer
14 years 8 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
MICCAI
2009
Springer
14 years 4 months ago
Mesh Generation from 3D Multi-material Images
Generating realistic geometric models from 3D segmented images is an important task in many biomedical applications. Segmented 3D images impose particular challenges for meshing a...
Dobrina Boltcheva, Mariette Yvinec, Jean-Daniel Bo...
MICCAI
2001
Springer
13 years 12 months ago
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
Extracting 3D structures from volumetric images like MRI or CT is becoming a routine process for diagnosis based on quantitation, for radiotherapy planning, for surgical planning a...
Guido Gerig, Matthieu Jomier, Miranda Chakos