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» Active Volume Models for Medical Image Segmentation
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118
Voted
MICCAI
2010
Springer
15 years 2 months ago
Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map
Automatic segmentation of the esophagus from CT data is a challenging problem. Its wall consists of muscle tissue, which has low contrast in CT. Sometimes it is filled with air or...
Johannes Feulner, Shaohua Kevin Zhou, Martin Huber...
120
Voted
MICCAI
2003
Springer
16 years 4 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
159
Voted
MICCAI
2005
Springer
16 years 4 months ago
Tissue Classification of Noisy MR Brain Images Using Constrained GMM
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
Amit Ruf, Hayit Greenspan, Jacob Goldberger
136
Voted
MICCAI
2007
Springer
16 years 4 months ago
Cardiolock: An Active Cardiac Stabilizer
Off-pump Coronary Artery Bypass Grafting (CABG) is still today a technically difficult procedure. In fact, the mechanical stabilizers used to locally suppress the heart excursion h...
Wael Bachta, Pierre Renaud, Edouard Laroche, Jacqu...
153
Voted
ICPR
2008
IEEE
15 years 10 months ago
Phase diagram of a long bar under a higher-order active contour energy: Application to hydrographic network extraction from VHR
The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic performance of this task...
Aymen El Ghoul, Ian H. Jermyn, Josiane Zerubia