Automated mapping and N-Staging of thoracic lymph nodes in contrast-enhanced CT scans of the chest using a fully convolutional neural network.

Abstract

Authors

• Andra-Iza Iuga
  Institute for Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany. Electronic address: andra.iuga@uk-koeln.de.
• Tanja Lossau
  Philips Research Hamburg, Hamburg, Germany.
• Liliana Laurenco Caldeira
  Institute for Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
• Miriam Rinneburger
  Institute for Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
• Simon Lennartz
  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
  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.
• Michael Püsken
  Institute for Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
• Heike Carolus
  Philips Research Hamburg, Hamburg, Germany.
• David Maintz
  Institute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
• Tobias Klinder
  Philips Research, Hamburg, 22335, Germany.
• Thorsten Persigehl
  Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Keywords

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