Deep learning and cancer biomarkers: recognising lead-time bias - Authors' reply.

Liestøl, Knut; Kleppe, Andreas; Skrede, Ole-Johan; De Raedt, Sepp; Kerr, David J; Danielsen, Håvard E

Liestøl, Knut; Kleppe, Andreas; Skrede, Ole-Johan; De Raedt, Sepp; Kerr, David J; Danielsen, Håvard E.

Afiliação

Liestøl K; Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo NO-0424, Norway; Department of Informatics, University of Oslo, Oslo, Norway.
Kleppe A; Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo NO-0424, Norway; Department of Informatics, University of Oslo, Oslo, Norway.
Skrede OJ; Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo NO-0424, Norway; Department of Informatics, University of Oslo, Oslo, Norway.
De Raedt S; Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo NO-0424, Norway; Department of Informatics, University of Oslo, Oslo, Norway.
Kerr DJ; Nuffield Division of Clinical Laboratory Sciences, University of Oxford, Oxford, UK.
Danielsen HE; Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo NO-0424, Norway; Department of Informatics, University of Oslo, Oslo, Norway; Nuffield Division of Clinical Laboratory Sciences, University of Oxford, Oxford, UK. Electronic address: hdaniels@labmed.uio.no.

Lancet ; 397(10270): 194-195, 2021 01 16.

Article em En | MEDLINE | ID: mdl-33453777

Assuntos

Aprendizado Profundo; Neoplasias; Viés; Biomarcadores Tumorais; Humanos; Neoplasias/diagnóstico

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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