Improving 3D EM data segmentation by joint optimization over boundary evidence and biological priors

@article{Krasowski2015Improving3E,
  title={Improving 3D EM data segmentation by joint optimization over boundary evidence and biological priors},
  author={Nikola Krasowski and Thorsten Beier and Graham Knott and Ullrich K{\"o}the and Fred A. Hamprecht and Anna Kreshuk},
  journal={2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)},
  year={2015},
  pages={536-539}
}
We present a new automated neuron segmentation algorithm for isotropic 3D electron microscopy data. We cast the problem into the asymmetric multiway cut framework. The latter combines boundary-based segmentation (clustering) with region-based segmentation (semantic labeling) in a single problem and objective function. This joint formulation allows us to augment local boundary evidence with higherlevel biological priors, such as membership to an axonic or dendritic neurite. Joint optimization… CONTINUE READING
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