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

Kilic M. C., BAYRAKDAR İ. Ş., Celik O., BİLGİR E., ORHAN K., Aydin O. B., ...Daha Fazla

DENTOMAXILLOFACIAL RADIOLOGY, cilt.50, sa.6, 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: DENTOMAXILLOFACIAL RADIOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Anahtar Kelimeler: Artificial intelligence, deep learning, tooth detecting, panoramic radiography, children, pediatric dentistry, deciduous tooth, CONVOLUTIONAL NEURAL-NETWORK, TEETH, CLASSIFICATION, DIAGNOSIS, FUTURE
  • Ankara 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.