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Deep learning can predict survival directly from histology in clear cell renal cell carcinoma.
Wessels, Frederik; Schmitt, Max; Krieghoff-Henning, Eva; Kather, Jakob N; Nientiedt, Malin; Kriegmair, Maximilian C; Worst, Thomas S; Neuberger, Manuel; Steeg, Matthias; Popovic, Zoran V; Gaiser, Timo; von Kalle, Christof; Utikal, Jochen S; Fröhling, Stefan; Michel, Maurice S; Nuhn, Philipp; Brinker, Titus J.
Afiliación
  • Wessels F; Digital Biomarkers for Oncology Group, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Schmitt M; Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany.
  • Krieghoff-Henning E; Digital Biomarkers for Oncology Group, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Kather JN; Digital Biomarkers for Oncology Group, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Nientiedt M; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Kriegmair MC; Division of Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
  • Worst TS; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany.
  • Neuberger M; Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany.
  • Steeg M; Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany.
  • Popovic ZV; Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany.
  • Gaiser T; Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany.
  • von Kalle C; Institute of Pathology, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany.
  • Utikal JS; Institute of Pathology, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany.
  • Fröhling S; Institute of Pathology, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany.
  • Michel MS; Department of Clinical-Translational Sciences, Berlin Institute of Health (BIH), Charité University Medicine, Berlin, Germany.
  • Nuhn P; Clinical Cooperation Unit Dermato-Oncology, University Medical Center Mannheim, University of Heidelberg, German Cancer Research Center (DKFZ), Mannheim and Heidelberg, Germany.
  • Brinker TJ; National Center for Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany.
PLoS One ; 17(8): e0272656, 2022.
Article en En | MEDLINE | ID: mdl-35976907
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Texto completo: 1 Colección: 01-internacional Asunto principal: Carcinoma de Células Renales / Aprendizaje Profundo / Neoplasias Renales Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Alemania
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Asunto principal: Carcinoma de Células Renales / Aprendizaje Profundo / Neoplasias Renales Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Alemania