Detecting white spot lesions on dental photography using deep learning: A pilot study.

Journal: Journal of dentistry
Published Date:

Abstract

OBJECTIVES: We aimed to apply deep learning to detect white spot lesions in dental photographs.

Authors

  • Haitham Askar
    Department of Oral Diagnostics, Digital Health and Health Services Research, Charité - Universitätsmedizin Berlin, Germany.
  • Joachim Krois
    Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Csaba Rohrer
    Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, 10587 Berlin, Germany.
  • Sarah Mertens
    Department of Oral Diagnostics, Digital Health and Health Services Research, Charité - Universitätsmedizin Berlin, Germany; Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Germany.
  • Karim Elhennawy
    Department of Operative and Preventive Dentistry, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Livia Ottolenghi
    Department of Oral and MaxilloFacial Sciences, Sapienza University of Rome, Italy.
  • Marta Mazur
    Department of Oral and MaxilloFacial Sciences, Sapienza University of Rome, Italy.
  • Sebastian Paris
    Department of Oral Diagnostics, Digital Health and Health Services Research, Charité - Universitätsmedizin Berlin, Germany.
  • Falk Schwendicke
    Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Berlin, Germany. falk.schwendicke@charite.de.