An artificial intelligence study: automatic description of anatomic landmarks on panoramic radiographs in the pediatric population

An artificial intelligence study: automatic description of anatomic landmarks on panoramic radiographs in the pediatric population

Abstract Background Panoramic radiographs, in which anatomic landmarks can be observed, are used to detect cases closely related to pediatric dentistry. The purpose of the study is to investigate the success and reliability of the detection of maxillary and mandibular anatomic structures observed on...

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Bibliographic Details
Main Authors: İrem Bağ, Elif Bilgir, İbrahim Şevki Bayrakdar, Oğuzhan Baydar, Fatih Mehmet Atak, Özer Çelik, Kaan Orhan
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Oral Health
Subjects:
Anatomic landmarks
Artificial intelligence
Deep learning
Panoramic radiography
Pediatric dentistry
Online Access:https://doi.org/10.1186/s12903-023-03532-8

Internet

https://doi.org/10.1186/s12903-023-03532-8

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