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Deep Learning-based Recurrence Prediction in Patients with Non-muscle-invasive Bladder Cancer.
Lucas, Marit; Jansen, Ilaria; van Leeuwen, Ton G; Oddens, Jorg R; de Bruin, Daniel M; Marquering, Henk A.
Afiliação
  • Lucas M; Department of Biomedical Engineering and Physics, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands. Electronic address: m.lucas@amsterdamumc.nl.
  • Jansen I; Department of Biomedical Engineering and Physics, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Department of Urology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • van Leeuwen TG; Department of Biomedical Engineering and Physics, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Oddens JR; Department of Urology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • de Bruin DM; Department of Biomedical Engineering and Physics, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Department of Urology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Marquering HA; Department of Biomedical Engineering and Physics, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Department of Biomedical Engineering and Physics, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Depar
Eur Urol Focus ; 8(1): 165-172, 2022 Jan.
Article em En | MEDLINE | ID: mdl-33358370
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur Urol Focus Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur Urol Focus Ano de publicação: 2022 Tipo de documento: Article