A deep learning–based algorithm for tall cell detection in papillary thyroid carcinoma

• Sebastian Stenman ,

  Roles Conceptualization, Data curation, Investigation, Methodology, Writing – original draft

  * E-mail: sebastian.stenman@helsinki.fi

  Affiliations Institute for Molecular Medicine Finland – FIMM, University of Helsinki, Helsinki, Finland, HUSLAB Pathology Department, Helsinki University Hospital, Helsinki, Finland, Department of Surgery, Helsinki University Hospital, Helsinki, Finland

  https://orcid.org/0000-0001-5780-0285

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• Nina Linder,

  Roles Methodology, Supervision, Writing – review & editing

  Affiliations Institute for Molecular Medicine Finland – FIMM, University of Helsinki, Helsinki, Finland, Department of Women’s and Children’s Health, International Maternal and Child Health at Uppsala University, Uppsala, Sweden

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• Mikael Lundin,

  Roles Data curation, Formal analysis, Software

  Affiliation Institute for Molecular Medicine Finland – FIMM, University of Helsinki, Helsinki, Finland

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• Caj Haglund ,

  Contributed equally to this work with: Caj Haglund, Johanna Arola, Johan Lundin

  Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing

  Affiliations Department of Surgery, Helsinki University Hospital, Helsinki, Finland, Research Programs Unit, Translational Cancer Medicine, University of Helsinki, Helsinki, Finland

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• Johanna Arola ,

  Contributed equally to this work with: Caj Haglund, Johanna Arola, Johan Lundin

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

  Affiliation HUSLAB Pathology Department, Helsinki University Hospital, Helsinki, Finland

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• Johan Lundin

  Contributed equally to this work with: Caj Haglund, Johanna Arola, Johan Lundin

  Roles Conceptualization, Funding acquisition, Project administration, Resources, Software, Supervision, Writing – review & editing

  Affiliations Institute for Molecular Medicine Finland – FIMM, University of Helsinki, Helsinki, Finland, Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden, iCAN Digital Precision Cancer Medicine Flagship Helsinki, Helsinki, Finland

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