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Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies.
Lucas, Marit; Jansen, Ilaria; Savci-Heijink, C Dilara; Meijer, Sybren L; de Boer, Onno J; van Leeuwen, Ton G; de Bruin, Daniel M; Marquering, Henk A.
  • Lucas M; Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands. m.lucas@amc.uva.nl.
  • Jansen I; Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Savci-Heijink CD; Department of Urology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Meijer SL; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • de Boer OJ; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • van Leeuwen TG; Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • de Bruin DM; Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Marquering HA; Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Virchows Arch ; 475(1): 77-83, 2019 Jul.
Article en En | MEDLINE | ID: mdl-31098801
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Reconocimiento de Normas Patrones Automatizadas / Interpretación de Imagen Asistida por Computador / Clasificación del Tumor / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans / Male Idioma: En Año: 2019 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Reconocimiento de Normas Patrones Automatizadas / Interpretación de Imagen Asistida por Computador / Clasificación del Tumor / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans / Male Idioma: En Año: 2019 Tipo del documento: Article