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Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology.
Dolezal, James M; Srisuwananukorn, Andrew; Karpeyev, Dmitry; Ramesh, Siddhi; Kochanny, Sara; Cody, Brittany; Mansfield, Aaron S; Rakshit, Sagar; Bansal, Radhika; Bois, Melanie C; Bungum, Aaron O; Schulte, Jefree J; Vokes, Everett E; Garassino, Marina Chiara; Husain, Aliya N; Pearson, Alexander T.
Afiliación
  • Dolezal JM; Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA.
  • Srisuwananukorn A; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Karpeyev D; DV Group, LLC, Chicago, IL, USA.
  • Ramesh S; Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA.
  • Kochanny S; Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA.
  • Cody B; Department of Pathology, University of Chicago, Chicago, IL, USA.
  • Mansfield AS; Division of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
  • Rakshit S; Division of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
  • Bansal R; Division of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
  • Bois MC; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
  • Bungum AO; Divisions of Pulmonary Medicine and Critical Care, Mayo Clinic, Rochester, MN, USA.
  • Schulte JJ; Department of Pathology and Laboratory Medicine, University of Wisconsin at Madison, Madison, WN, USA.
  • Vokes EE; Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA.
  • Garassino MC; Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA.
  • Husain AN; Department of Pathology, University of Chicago, Chicago, IL, USA.
  • Pearson AT; Section of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA. apearson5@medicine.bsd.uchicago.edu.
Nat Commun ; 13(1): 6572, 2022 11 02.
Article en En | MEDLINE | ID: mdl-36323656
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma de Células Escamosas / Adenocarcinoma / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma de Células Escamosas / Adenocarcinoma / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido