Comparison of AudaxCeph®'s fully automated cephalometric tracing technology to a semi-automated approach by human examiners.

Journal: International orthodontics
Published Date:

Abstract

OBJECTIVE: To compare the reliability of cephalometric landmark identification by an automated tracing software based on convolutional neural networks to human tracers.

Authors

  • Britta Ristau
    Department of Orthodontics, School of Dentistry, LSU Health New Orleans, 1100, Florida Avenue, 70119 New Orleans, LA, USA.
  • Mark Coreil
    Department of Orthodontics, School of Dentistry, LSU Health New Orleans, 1100, Florida Avenue, 70119 New Orleans, LA, USA.
  • Andrew Chapple
    Department of Biostatistics, School of Public Health, LSU Health New Orleans, 2020, Gravier Street, 70112 New Orleans, LA, USA.
  • Paul Armbruster
    Department of Orthodontics, School of Dentistry, LSU Health New Orleans, 1100, Florida Avenue, 70119 New Orleans, LA, USA.
  • Richard Ballard
    Department of Orthodontics, School of Dentistry, LSU Health New Orleans, 1100, Florida Avenue, 70119 New Orleans, LA, USA. Electronic address: rball1@lsuhsc.edu.