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ISBI
2007
IEEE
14 years 13 days ago
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-koo ...
CVPR
2005
IEEE
14 years 8 months ago
Bayesian Image Segmentation Using Wavelet-Based Priors
This paper introduces a formulation which allows using wavelet-based priors for image segmentation. This formulation can be used in supervised, unsupervised, or semisupervised mod...
Mário A. T. Figueiredo
MICCAI
2009
Springer
14 years 7 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
TMI
2010
217views more  TMI 2010»
13 years 26 days ago
A Generative Model for Image Segmentation Based on Label Fusion
We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inferen...
Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Le...
ICCV
2003
IEEE
13 years 11 months ago
Natural Image Statistics for Natural Image Segmentation
Building on recent progress in modeling filter response statistics of natural images we integrate a statistical model into a variational framework for image segmentation. Incorpo...
Matthias Heiler, Christoph Schnörr