End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study.

Abstract

Authors

• Megan Schuurmans
  Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
• Anindo Saha
  Diagnostic Image Analysis Group, Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
• Natália Alves
  Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.
• Pierpaolo Vendittelli
  Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
• Derya Yakar
  Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. Electronic address: d.yakar@umcg.nl.
• Sergio Sabroso-Lasa
  Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center, Madrid, Spain.
• Nannan Xue
  Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center, Madrid, Spain.
• Núria Malats
  Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center, Madrid, Spain.
• Henkjan Huisman
  Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
• John Hermans
  Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
• Geert Litjens
  Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.

Keywords

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