Comparison between observer-based and AI-based reading of CBCT datasets: An interrater-reliability study.

Journal: The Saudi dental journal
Published Date: Nov 4, 2023

Abstract

OBJECTIVE: To assess the performance of human observers and convolutional neural networks (CNNs) in detecting periodontal lesions in cone beam computed tomography (CBCT), a total of 38 datasets were examined. Three human readers and a CNN-based solution were employed to evaluate the presence of periodontal pathologies in these datasets.

Authors

  • Dirk Schulze
    Digital Diagnostic Center, Kaiser-Joseph-Str. 263, 79098 Freiburg, Germany.
  • Lutz Häußermann
    Zahnexperten Dr. Pillich, Ebertpassage 4, 25421 Pinneberg, Germany.
  • Julian Ripper
    Darmstädter Straße 20, 64354 Reinheim, Germany.
  • Thomas Sottong
    Praxis Großehelleforth und Kollegen, Alfred-Bozi-Straße 23, 33602 Bielefeld, Germany.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals