Development and validation of a novel artificial intelligence driven tool for accurate mandibular canal segmentation on CBCT.

Abstract

Authors

• Pierre Lahoud
  OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Kapucijnenvoer 33, 3000, Leuven, Belgium.
• Siebe Diels
  Relu BV, Leuven, Belgium.
• Liselot Niclaes
  OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven & Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Belgium.
• Stijn Van Aelst
  OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven & Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Belgium.
• Holger Willems
  Relu, Innovatie-en incubatiecentrum KU Leuven, Leuven, 3000, Belgium.
• Adriaan Van Gerven
  Relu, R&D, 3000 Leuven, Belgium.
• Marc Quirynen
  Department of Oral Health Sciences, Periodontology and Oral Microbiology, University Hospitals of Leuven, Belgium.
• Reinhilde Jacobs
  OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven and Department of Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Kapucijnenvoer 7, 3000, Leuven, Belgium; Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden. Electronic address: reinhilde.jacobs@ki.se.

Keywords

External Resources