Fully automatic segmentation of the mandible based on convolutional neural networks (CNNs).

Journal: Orthodontics & craniofacial research
Published Date: Dec 1, 2021

Abstract

OBJECTIVES: To evaluate the accuracy of automatic deep learning-based method for fully automatic segmentation of the mandible from CBCTs.

Authors

  • Antonino Lo Giudice
    Department of Orthodontics, School of Dentistry, University of Catania, Catania, Italy.
  • Vincenzo Ronsivalle
    Department of Orthodontics, School of Dentistry, University of Catania, Catania, Italy.
  • Concetto Spampinato
    Department of Computer and Telecommunications Engineering, University of Catania, Catania, Italy.
  • Rosalia Leonardi
    Department of Orthodontics, School of Dentistry, University of Catania, Catania, Italy. Electronic address: rleonard@unict.it.

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