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Deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations.
Spiers, Helen; Songhurst, Harry; Nightingale, Luke; de Folter, Joost; Hutchings, Roger; Peddie, Christopher J; Weston, Anne; Strange, Amy; Hindmarsh, Steve; Lintott, Chris; Collinson, Lucy M; Jones, Martin L.
Affiliation
  • Spiers H; Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK.
  • Songhurst H; Department of Physics, University of Oxford, Oxford, UK.
  • Nightingale L; Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK.
  • de Folter J; Department of Computer Science, University of Manchester, Manchester, UK.
  • Hutchings R; Scientific Computing Science Technology Platform, The Francis Crick Institute, London, UK.
  • Weston A; Department of Physics, University of Oxford, Oxford, UK.
  • Strange A; Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK.
  • Hindmarsh S; Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK.
  • Lintott C; Scientific Computing Science Technology Platform, The Francis Crick Institute, London, UK.
  • Collinson LM; Scientific Computing Science Technology Platform, The Francis Crick Institute, London, UK.
  • Jones ML; Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK.
Traffic ; 22(7): 240-253, 2021 07.
Article in En | MEDLINE | ID: mdl-33914396
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Limits: Humans Language: En Journal: Traffic Journal subject: FISIOLOGIA Year: 2021 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Limits: Humans Language: En Journal: Traffic Journal subject: FISIOLOGIA Year: 2021 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom