Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children.

Journal: Dento maxillo facial radiology
PMID: 35731733

Abstract

OBJECTIVES: The purpose of this study is to develop and evaluate the performance of a model that automatically sets a region of interest (ROI) and diagnoses mesiodens in panoramic radiographs of growing children using deep learning technology.

Authors

  • Jihoon Kim
    Department of Pathology, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Republic of Korea.
  • Jae Joon Hwang
    Department of Oral and Maxillofacial Radiology, School of Dentistry, Pusan National University, Dental and Life Science Institute, Yangsan, Korea. softdent@pusan.ac.kr.
  • Taesung Jeong
    Dental and Life Science Institute & Dental Research Institute, School of Dentistry, Pusan National University, Yangsan, South Korea.
  • Bong-Hae Cho
    Department of Oral and Maxillofacial Radiology, School of Dentistry, Pusan National University, Dental and Life Science Institute, Yangsan, Korea.
  • Jonghyun Shin
    Dental and Life Science Institute & Dental Research Institute, School of Dentistry, Pusan National University, Yangsan, South Korea.

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