Machines that learn to segment images: a crucial technology for connectomics.

@article{Jain2010MachinesTL,
  title={Machines that learn to segment images: a crucial technology for connectomics.},
  author={Viren Jain and H. Sebastian Seung and Srinivas C. Turaga},
  journal={Current opinion in neurobiology},
  year={2010},
  volume={20 5},
  pages={653-66}
}
Connections between neurons can be found by checking whether synapses exist at points of contact, which in turn are determined by neural shapes. Finding these shapes is a special case of image segmentation, which is laborious for humans and would ideally be performed by computers. New metrics properly quantify the performance of a computer algorithm using its disagreement with 'true' segmentations of example images. New machine learning methods search for segmentation algorithms that minimize… CONTINUE READING
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Segmented ssTEM stack of neural tissue. Available online at http://www.ini.uzh. ch/∼acardona/data.html

  • A Cardona
  • 2010
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