The feasibility of using citizens to segment anatomy from medical images: Accuracy and motivation

• Judith R. Meakin ,

  Roles Conceptualization, Data curation, Funding acquisition, Project administration, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: j.r.meakin@exeter.ac.uk

  Affiliation Biomedical Physics Group, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom

  http://orcid.org/0000-0002-7403-185X

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• Ryan M. Ames,

  Roles Conceptualization, Formal analysis, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Biosciences, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom

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• J. Charles G. Jeynes,

  Roles Conceptualization, Software, Writing – original draft, Writing – review & editing

  Affiliation Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United Kingdom

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• Jo Welsman,

  Roles Conceptualization, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

  Affiliation Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, United Kingdom

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• Michael Gundry,

  Roles Conceptualization, Investigation, Project administration, Writing – original draft, Writing – review & editing

  Affiliation Medical Imaging, University of Exeter Medical School, University of Exeter, Exeter, United Kingdom

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• Karen Knapp,

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Writing – original draft, Writing – review & editing

  Affiliation Medical Imaging, University of Exeter Medical School, University of Exeter, Exeter, United Kingdom

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• Richard Everson

  Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Computer Science, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom

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