Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs.

Kılıc M. C., Bayrakdar İ. Ş., Çelik Ö., Bilgir E., Orhan K., Aydın O. B., ...More

Dento maxillo facial radiology, vol.50, no.6, pp.20200172, 2021 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 50 Issue: 6
  • Publication Date: 2021
  • Doi Number: 10.1259/dmfr.20200172
  • Journal Name: Dento maxillo facial radiology
  • Journal Indexes: Scopus, EMBASE, MEDLINE, Science Citation Index Expanded (SCI-EXPANDED)
  • Page Numbers: pp.20200172
  • Keywords: Artificial intelligence, deep learning, tooth detecting, panoramic radiography, children, pediatric dentistry, deciduous tooth, CONVOLUTIONAL NEURAL-NETWORK, TEETH, CLASSIFICATION, DIAGNOSIS, FUTURE
  • Eskisehir Osmangazi University Affiliated: Yes

Abstract

Objective: This study evaluated the use of a deep-learning approach for automated detection and numbering of deciduous teeth in children as depicted on panoramic radiographs.