Convolutional neural network-based automated maxillary alveolar bone segmentation on cone-beam computed tomography images.

Abstract

Authors

• Rocharles Cavalcante Fontenele
  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 Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, Sao Paulo, Brazil.
• Maurício do Nascimento Gerhardt
  OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven, Leuven, Belgium.
• Fernando Fortes Picoli
  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; School of Dentistry, Federal University of Goiás, Goiânia, GO, Brazil.
• Adriaan Van Gerven
  Relu, R&D, 3000 Leuven, Belgium.
• Stefanos Nomidis
  Relu BV, Kapeldreef 60, BE-3000 Leuven, Belgium.
• Holger Willems
  Relu, Innovatie-en incubatiecentrum KU Leuven, Leuven, 3000, Belgium.
• Deborah Queiroz Freitas
  Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil.
• 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

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