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Comparison of a machine and deep learning model for automated tumor annotation on digitized whole slide prostate cancer histology.
Duenweg, Savannah R; Brehler, Michael; Bobholz, Samuel A; Lowman, Allison K; Winiarz, Aleksandra; Kyereme, Fitzgerald; Nencka, Andrew; Iczkowski, Kenneth A; LaViolette, Peter S.
Afiliação
  • Duenweg SR; Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
  • Brehler M; Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
  • Bobholz SA; Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
  • Lowman AK; Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
  • Winiarz A; Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
  • Kyereme F; Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
  • Nencka A; Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
  • Iczkowski KA; Department of Pathology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
  • LaViolette PS; Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
PLoS One ; 18(3): e0278084, 2023.
Article em En | MEDLINE | ID: mdl-36928230

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article