Optimal Multiple Surface Segmentation With Shape and Context Priors

@article{Song2013OptimalMS,
  title={Optimal Multiple Surface Segmentation With Shape and Context Priors},
  author={Qi Song and Junjie Bai and M. Garvin and M. Sonka and J. Buatti and Xiaodong Wu},
  journal={IEEE Transactions on Medical Imaging},
  year={2013},
  volume={32},
  pages={376-386}
}
Segmentation of multiple surfaces in medical images is a challenging problem, further complicated by the frequent presence of weak boundary evidence, large object deformations, and mutual influence between adjacent objects. This paper reports a novel approach to multi-object segmentation that incorporates both shape and context prior knowledge in a 3-D graph-theoretic framework to help overcome the stated challenges. We employ an arc-based graph representation to incorporate a wide spectrum of… Expand
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