TURKISH JOURNAL OF ORTHODONTICS, vol.35, no.2, pp.94-100, 2022 (ESCI)
Article / Article
TURKISH JOURNAL OF ORTHODONTICS
Emerging Sources Citation Index (ESCI), Scopus
Anatomic landmark, lateral cephalometric radiograph, deep learning, artificial intelligence
Eskisehir Osmangazi University Affiliated:
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.