-
Loading metrics
Open Access
Peer-reviewed
Research Article
Deep learning can predict survival directly from histology in clear cell renal cell carcinoma
-
Frederik Wessels,
Roles Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing
Affiliations Digital Biomarkers for Oncology Group, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany, Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany
⨯ -
Max Schmitt,
Roles Formal analysis, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing
Affiliation Digital Biomarkers for Oncology Group, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany
⨯ -
Eva Krieghoff-Henning,
Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing
Affiliation Digital Biomarkers for Oncology Group, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany
⨯ -
Jakob N. Kather,
Roles Methodology, Writing – review & editing
Affiliations Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany, Division of Pathology and Data Analytics, Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, United Kingdom, Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany
⨯ -
Malin Nientiedt,
Roles Data curation, Writing – review & editing
Affiliation Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany
⨯ -
Maximilian C. Kriegmair,
Roles Data curation, Writing – review & editing
Affiliation Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany
⨯ -
Thomas S. Worst,
Roles Conceptualization, Writing – review & editing
Affiliation Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany
⨯ -
Manuel Neuberger,
Roles Methodology, Writing – review & editing
Affiliation Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany
⨯ -
Matthias Steeg,
Roles Writing – review & editing
Affiliation Institute of Pathology, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany
⨯ -
Zoran V. Popovic,
Roles Writing – review & editing
Affiliation Institute of Pathology, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany
⨯ -
Timo Gaiser,
Roles Conceptualization, Resources, Supervision, Writing – review & editing
Affiliation Institute of Pathology, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany
⨯ -
Christof von Kalle,
Roles Writing – review & editing
Affiliation Department of Clinical-Translational Sciences, Berlin Institute of Health (BIH), Charité University Medicine, Berlin, Germany
⨯ -
Jochen S. Utikal,
Roles Funding acquisition, Writing – review & editing
Affiliation Clinical Cooperation Unit Dermato-Oncology, University Medical Center Mannheim, University of Heidelberg, German Cancer Research Center (DKFZ), Mannheim and Heidelberg, Germany
⨯ -
Stefan Fröhling,
Roles Resources, Writing – review & editing
Affiliation National Center for Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany
⨯ -
Maurice S. Michel,
Roles Resources, Writing – review & editing
Affiliation Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany
⨯ -
Philipp Nuhn ,
Contributed equally to this work with: Philipp Nuhn, Titus J. Brinker
Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing
Affiliation Department of Urology & Urological Surgery, Medical Faculty Mannheim of Heidelberg University, University Medical Center Mannheim, Mannheim, Germany
⨯ - [ ... ],
-
Titus J. Brinker
Contributed equally to this work with: Philipp Nuhn, Titus J. Brinker
Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – review & editing
* E-mail: titus.brinker@dkfz.de
Affiliation Digital Biomarkers for Oncology Group, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany
⨯ - [ view all ]
- [ view less ]
Deep learning can predict survival directly from histology in clear cell renal cell carcinoma
- Frederik Wessels,
- Max Schmitt,
- Eva Krieghoff-Henning,
- Jakob N. Kather,
- Malin Nientiedt,
- Maximilian C. Kriegmair,
- Thomas S. Worst,
- Manuel Neuberger,
- Matthias Steeg,
- Zoran V. Popovic
- Published: August 17, 2022
- https://doi.org/10.1371/journal.pone.0272656