Deep learning-based segmentation of the mandibular canals in cone-beam CT reaches human-level performance.

Abstract

Authors

• Wiebke Semper-Hogg
  Department of Oral and Maxillofacial Surgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg 79106, Germany.
• Alexander Rau
  Department of Neuroradiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
• Marc Anton Fuessinger
  Department of Oral and Maxillofacial Surgery, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
• Sabrina Zimmermann
  Department of Oral and Maxillofacial Surgery, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
• Fabian Bamberg
  Department of Diagnostic and Interventional Radiology, University Medical Center Tübingen, Tübingen, Germany.
• Marc Christian Metzger
  Department of Oral and Maxillofacial Surgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
• Rainer Schmelzeisen
  Department of Oral and Maxillofacial Surgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
• Stephan Rau
  Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
• Marco Reisert
  Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
• Maximilian Frederik Russe
  Department of Diagnostic and Interventional Radiology, Medical Center, University of Freiburg, Faculty of Medicine, Freiburg, Germany.

Keywords

External Resources