Deep learning for tooth detection and segmentation in panoramic radiographs: a systematic review and meta-analysis.

Journal: BMC oral health
Published Date: Jul 30, 2025

Abstract

BACKGROUND: This systematic review and meta-analysis aimed to summarize and evaluate the available information regarding the performance of deep learning methods for tooth detection and segmentation in orthopantomographies.

Authors

  • M Bonfanti-Gris
    Department of Conservative and Prosthetic Dentistry, Faculty of Dentistry, Complutense University of Madrid. Plaza Ramón y Cajal s/n - 28040 Madrid, España.
  • A Herrera
    Department of Conservative and Prosthetic Dentistry, Faculty of Dentistry, Complutense University of Madrid. Plaza Ramón y Cajal s/n - 28040 Madrid, España.
  • M P Salido Rodríguez-Manzaneque
    Department of Conservative and Prosthetic Dentistry, Faculty of Dentistry, Universidad Complutense de Madrid, Plaza Ramón y Cajal S/N, Madrid, 28040, Spain. mpsalido@ucm.es.
  • F Martínez-Rus
    Department of Conservative and Prosthetic Dentistry, Faculty of Dentistry, Complutense University of Madrid. Plaza Ramón y Cajal s/n - 28040 Madrid, España. Electronic address: framarti@ucm.es.
  • G Pradíes
    Department of Conservative and Prosthetic Dentistry, Faculty of Dentistry, Complutense University of Madrid. Plaza Ramón y Cajal s/n - 28040 Madrid, España.

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