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Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks

2020-02-19

Abstract excerpt

Understanding of neuronal circuitry at cellular resolution within the brain has relied on tract tracing methods which involve careful observation and interpretation by experienced neuroscientists. With recent developments in imaging and digitization, this approach is no longer feasible with the large scale (terabyte to petabyte range) images. Machine learning based techniques, using deep networks, provide an effic...

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Literature Corpus work
19293023-d524-5ecd-88c2-600368337f0a
DOI
10.1101/2020.02.18.955237
Open publication

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Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networksDOI 10.1101/2020.02.18.955237
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