Author Correction: Artificial intelligence unravels interpretable malignancy grades of prostate cancer on histology images

• Okyaz Eminaga,
• Fred Saad,
• Zhe Tian,
• Ulrich Wolffgang,
• Pierre I. Karakiewicz,
• Véronique Ouellet,
• Feryel Azzi,
• Tilmann Spieker,
• Burkhard M. Helmke,
• Markus Graefen,
• Xiaoyi Jiang,
• Lei Xing,
• Jorn H. Witt,
• Dominique Trudel,
• Sami-Ramzi Leyh-Bannurah

Affiliations

Okyaz Eminaga

AI Vobis

Fred Saad

Division of Urology, Department of Surgery, Centre Hospitalier de l’Université de Montréal, University of Montreal

Zhe Tian

Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center

Ulrich Wolffgang

University of Münster

Pierre I. Karakiewicz

Division of Urology, Department of Surgery, Centre Hospitalier de l’Université de Montréal, University of Montreal

Véronique Ouellet

Centre de recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)

Feryel Azzi

Centre de recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)

Tilmann Spieker

Institute of Pathology, St. Franziskus-Hospital

Burkhard M. Helmke

Institute of Pathology, Elbe Klinikum Stade, Academic Teaching Hospital of The University Medical Center Hamburg-Eppendorf (UKE)

Markus Graefen

Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf

Xiaoyi Jiang

Department of Computer Science, University of Muenster

Lei Xing

Department of Radiation Oncology - Radiation Physics, Stanford University School of Medicine

Jorn H. Witt

Prostate Center Northwest, Department of Urology, Pediatric Urology and Uro-Oncology, St. Antonius-Hospital

Dominique Trudel

Centre de recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)

Sami-Ramzi Leyh-Bannurah

Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf