Learning Context Cues for Synapse Segmentation

@article{Becker2013LearningCC,
  title={Learning Context Cues for Synapse Segmentation},
  author={Carlos J. Becker and Karim Ali and Graham Knott and Pascal Fua},
  journal={IEEE Transactions on Medical Imaging},
  year={2013},
  volume={32},
  pages={1864-1877}
}
We present a new approach for the automated segmentation of synapses in image stacks acquired by electron microscopy (EM) that relies on image features specifically designed to take spatial context into account. These features are used to train a classifier that can effectively learn cues such as the presence of a nearby post-synaptic region. As a result, our algorithm successfully distinguishes synapses from the numerous other organelles that appear within an EM volume, including those whose… CONTINUE READING
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