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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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-31098801
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Pattern Recognition, Automated / Image Interpretation, Computer-Assisted / Neoplasm Grading / Deep Learning Type of study: Prognostic_studies Limits: Humans / Male Language: En Journal: Virchows Arch Journal subject: BIOLOGIA MOLECULAR / PATOLOGIA Year: 2019 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Pattern Recognition, Automated / Image Interpretation, Computer-Assisted / Neoplasm Grading / Deep Learning Type of study: Prognostic_studies Limits: Humans / Male Language: En Journal: Virchows Arch Journal subject: BIOLOGIA MOLECULAR / PATOLOGIA Year: 2019 Document type: Article Affiliation country: Country of publication: