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» A Generic Probabilistic Active Shape Model for Organ Segment...
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MICCAI
2009
Springer
14 years 6 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 2 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
SSIAI
2002
IEEE
13 years 10 months ago
Pre-Classification of Chest Radiographs for Improved Active Shape Model Segmentation of Ribs
The parenchymal and skeletal structure as recorded on chest radiographs can vary significantly from person to person. The person’s height, width, age, gender, and other factors ...
Janakiramanan Ramachandran, Marios S. Pattichis, P...
MICCAI
2009
Springer
13 years 9 months ago
A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography
Real-time three-dimensional (RT3D) echocardiography is the newest generation of three-dimensional (3-D) echocardiography. Segmentation of RT3D echocardiographic images is essential...
Yun Zhu, Xenophon Papademetris, Albert J. Sinusas,...
ICPR
2000
IEEE
13 years 9 months ago
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
Xavier Orriols, Ricardo Toledo, Xavier Binefa, Pet...