Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy - PMC
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. Author manuscript; available in PMC: 2020 May 6. Published in final edited form as: Curr Opin Neurobiol. 2019 May 6;55:188–198. doi: 10.1016/j.conb.2019.04.001 Abstract Neural circuits can be reconstructed from brain images acquired by serial section electron microscopy. Image analysis has been performed by manual labor for half a century, and efforts at automation date back almost as far. Convolutional nets were first applied to neuronal boundary detection a dozen years ago, and have now achieved impressive accuracy on clean images. Robust handling of image defects is a major…
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