Deep Learning for the Radiographic Detection of Apical Lesions.

Journal: Journal of endodontics
Published Date: Jun 1, 2019

Abstract

INTRODUCTION: We applied deep convolutional neural networks (CNNs) to detect apical lesions (ALs) on panoramic dental radiographs.

Authors

  • Thomas Ekert
    Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Joachim Krois
    Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Leonie Meinhold
    Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Karim Elhennawy
    Department of Operative and Preventive Dentistry, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Ramy Emara
    Department of Operative and Preventive Dentistry, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Tatiana Golla
    Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Falk Schwendicke
    Department of Operative and Preventive Dentistry, Charité - Universitätsmedizin Berlin, Berlin, Germany. falk.schwendicke@charite.de.

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