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., ...Daha Fazla

Dento maxillo facial radiology, cilt.50, sa.6, ss.20200172, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 50 Sayı: 6
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1259/dmfr.20200172
  • Dergi Adı: Dento maxillo facial radiology
  • Derginin Tarandığı İndeksler: Scopus, EMBASE, MEDLINE, Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.20200172
  • Anahtar Kelimeler: Artificial intelligence, deep learning, tooth detecting, panoramic radiography, children, pediatric dentistry, deciduous tooth, CONVOLUTIONAL NEURAL-NETWORK, TEETH, CLASSIFICATION, DIAGNOSIS, FUTURE
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

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.