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  3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries

Andres, B., Koethe, U., Kroeger, T., Helmstaedter, M., Briggman, K. L., Denk, W., et al. (2012). 3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries. Med Image Anal, 16(4), 796-805. doi:10.1016/j.media.2011.11.004.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-1785-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-1786-7
Genre: Journal Article

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http://www.ncbi.nlm.nih.gov/pubmed/22374536 (Any fulltext)
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Andres, B., Author
Koethe, U., Author
Kroeger, T., Author
Helmstaedter, Moritz1, Author           
Briggman, K. L., Author
Denk, W., Author
Hamprecht, F. A., Author
Affiliations:
1Connectomics Department, Max Planck Institute for Brain Research, Max Planck Society, ou_2461695              

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Free keywords: Algorithms Animals Computer Graphics Computer Simulation Humans Image Enhancement/methods Image Interpretation, Computer-Assisted/*methods Imaging, Three-Dimensional/*methods Microscopy/*methods *Models, Anatomic Neuropil/*cytology Pattern Recognition, Automated/*methods Rabbits Reproducibility of Results Sensitivity and Specificity *Subtraction Technique
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 Dates: 2012
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: 22374536
DOI: 10.1016/j.media.2011.11.004
ISSN: 1361-8423 (Electronic)1361-8415 (Linking)
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Title: Med Image Anal
  Alternative Title : Medical image analysis
Source Genre: Journal
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Pages: - Volume / Issue: 16 (4) Sequence Number: - Start / End Page: 796 - 805 Identifier: -