Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE.

Abstract

Authors

• Nan Wei
  Center for Soil Protection and Landscape Design, Chinese Academy of Environmental Planning, Beijing 100041, China. Electronic address: weinan@caep.org.cn.
• René Michael Mathy
  Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
• De-Hua Chang
  Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
• Philipp Mayer
  German Cancer Consortium, Heidelberg, Germany.
• Jakob Liermann
  Liver Cancer Center Heidelberg, Im Neuenheimer Feld 460, 69120, Heidelberg, Germany.
• Christoph Springfeld
  Liver Cancer Center Heidelberg, Im Neuenheimer Feld 460, 69120, Heidelberg, Germany.
• Michael T Dill
  Liver Cancer Center Heidelberg, Im Neuenheimer Feld 460, 69120, Heidelberg, Germany.
• Thomas Longerich
  Institute of Pathology Heidelberg, Heidelberg University Hospital, Im Neuenheimer Feld 224, 69120 Heidelberg, Germany.
• Georg Lurje
  Department of Surgery, Campus Charité Mitte and Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Berlin, Germany.
• Hans-Ulrich Kauczor
  Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
• Mark O Wielpütz
  Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
• Osman Öcal
  Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.

Keywords

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