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Quality control stress test for deep learning-based diagnostic model in digital pathology.
Schömig-Markiefka, Birgid; Pryalukhin, Alexey; Hulla, Wolfgang; Bychkov, Andrey; Fukuoka, Junya; Madabhushi, Anant; Achter, Viktor; Nieroda, Lech; Büttner, Reinhard; Quaas, Alexander; Tolkach, Yuri.
Affiliation
  • Schömig-Markiefka B; Institute of Pathology, University Hospital Cologne, Cologne, Germany.
  • Pryalukhin A; Institute of Pathology, Landesklinikum Wiener Neustadt, Wiener Neustadt, Austria.
  • Hulla W; Institute of Pathology, Landesklinikum Wiener Neustadt, Wiener Neustadt, Austria.
  • Bychkov A; Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
  • Fukuoka J; Department of Pathology, Kameda Medical Center, Kamogawa, Japan.
  • Madabhushi A; Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
  • Achter V; Department of Pathology, Kameda Medical Center, Kamogawa, Japan.
  • Nieroda L; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
  • Büttner R; Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, OH, USA.
  • Quaas A; Regional computing center (RRZK), University of Cologne, Cologne, Germany.
  • Tolkach Y; Regional computing center (RRZK), University of Cologne, Cologne, Germany.
Mod Pathol ; 34(12): 2098-2108, 2021 12.
Article in En | MEDLINE | ID: mdl-34168282

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pathology, Clinical / Prostatic Neoplasms / Quality Control / Image Processing, Computer-Assisted / Neural Networks, Computer / Artifacts / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans / Male Language: En Journal: Mod Pathol Journal subject: PATOLOGIA Year: 2021 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pathology, Clinical / Prostatic Neoplasms / Quality Control / Image Processing, Computer-Assisted / Neural Networks, Computer / Artifacts / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans / Male Language: En Journal: Mod Pathol Journal subject: PATOLOGIA Year: 2021 Type: Article Affiliation country: Germany