Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support

@article{Florin2007LiverSU,
  title={Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support},
  author={Charles Florin and Nikos Paragios and Gareth Funka-Lea and James Williams},
  journal={Information processing in medical imaging : proceedings of the ... conference},
  year={2007},
  volume={20},
  pages={38-49}
}
Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentation suffers from the large shape variability of this organ, and from structures of similar appearance that juxtapose the liver. The technique presented in this paper is devoted to combine a statistical analysis of the data with a reconstruction model from sparse information: only the most reliable information in the image is… CONTINUE READING
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