Automatic Segmentation of MS Lesions Using a Contextual Model for the MICCAI Grand Challenge

@inproceedings{Morra2008AutomaticSO,
  title={Automatic Segmentation of MS Lesions Using a Contextual Model for the MICCAI Grand Challenge},
  author={Jonathan H. Morra and Z. Tu and Arthur W. Toga and Paul M. Thompson},
  year={2008}
}
Automatically segmenting subcortical structures in brain images has the potential to greatly accelerate drug trials and population studies of disease. Here we propose an automatic subcortical segmentation algorithm using the auto context model. Unlike many segmentation algorithms that separately compute a shape prior and an image appearance model, we develop a framework based on machine learning to learn a unified appearance and context model. In order to test the method, specificity and… CONTINUE READING
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Regis - tration and machine learning based automated segmentation of subcortical and cerebellar brain structures

  • S. R. Sandor-Leahy, K. A. Schaper, D. A. Rottenberg, R. M. Leahy
  • NeuroImage
  • 2008

The role of context in object recognition

  • K. M. Pohl, J. Fisher, R. Kikinis, W. E. L. Grimson
  • Trends in Cognitive Sciences
  • 2007

Torralba . The role of context in object recognition

  • J. Fisher, R. Kikinis, W. E. L. Grimson, W. M. Wells
  • Trends in Cognitive Sciences
  • 2007

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