Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study.

Abstract

Authors

• Nils Große Hokamp
  Faculty of Medicine and University Hospital Cologne, Institute for Diagnostic and Interventional Radiology, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany. Nils.Grosse-Hokamp@uk-koeln.de.
• Simon Lennartz
  Faculty of Medicine and University Hospital Cologne, Institute for Diagnostic and Interventional Radiology, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
• Johannes Salem
  Faculty of Medicine and University Hospital Cologne, Department of Urology, University of Cologne, Cologne, Germany.
• Daniel Pinto Dos Santos
  Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
• Axel Heidenreich
  Faculty of Medicine and University Hospital Cologne, Department of Urology, University of Cologne, Cologne, Germany.
• David Maintz
  Institute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
• Stefan Haneder
  Faculty of Medicine and University Hospital Cologne, Institute for Diagnostic and Interventional Radiology, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.

Keywords

External Resources