Performance of a Convolutional Neural Network-Based Artificial Intelligence Algorithm for Automatic Cephalometric Landmark Detection
TURKISH JOURNAL OF ORTHODONTICS, cilt.35, sa.2, ss.94-100, 2022 (ESCI, Scopus)
- 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.