Performance of a Convolutional Neural Network-Based Artificial Intelligence Algorithm for Automatic Cephalometric Landmark Detection

UĞURLU M.

TURKISH JOURNAL OF ORTHODONTICS, cilt.35, sa.2, ss.94-100, 2022 (ESCI, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 2
  • Basım Tarihi: 2022
  • Doi Numarası: 10.5152/turkjorthod.2022.22026
  • Dergi Adı: TURKISH JOURNAL OF ORTHODONTICS
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.94-100
  • Anahtar Kelimeler: Anatomic landmark, lateral cephalometric radiograph, deep learning, artificial intelligence
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

Objective: The aim of this study is to develop an artificial intelligence model to detect cephalometric landmark automatically enabling the automatic analysis of cephalometric radiographs which have a very important place in dental practice and is used routinely in the diagnosis and treatment of dental and skeletal disorders.