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MICCAI
2008
Springer
16 years 24 days ago
Active Volume Models with Probabilistic Object Boundary Prediction Module
We propose a novel Active Volume Model (AVM) which deforms in a free-form manner to minimize energy. Unlike Snakes and level-set active contours which only consider curves or surfa...
Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou H...
ISBI
2007
IEEE
15 years 6 months ago
Statistical Shape Analysis via Principal Factor Analysis
Statistical shape analysis techniques commonly employed in the medical imaging community, such as Active Shape Models or Active Appearance Models, rely on Principal Component Anal...
Mauricio Reyes, Marius George Linguraru, Kostas Ma...
TMI
2011
182views more  TMI 2011»
14 years 6 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang
MICCAI
2009
Springer
16 years 24 days 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
2004
Springer
16 years 15 days ago
Vessel Segmentation Using a Shape Driven Flow
Abstract. We present a segmentation method for vessels using an implicit deformable model with a soft shape prior. Blood vessels are challenging structures to segment due to their ...
Delphine Nain, Anthony J. Yezzi, Greg Turk