Automatic detection and classification of nasopalatine duct cyst and periapical cyst on panoramic radiographs using deep convolutional neural networks.

Journal: Oral surgery, oral medicine, oral pathology and oral radiology
Published Date: Oct 16, 2023

Abstract

OBJECTIVE: The aim of this study was to evaluate a deep convolutional neural network (DCNN) method for the detection and classification of nasopalatine duct cysts (NPDC) and periapical cysts (PAC) on panoramic radiographs.

Authors

  • Han-Sol Lee
    Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, South Korea.
  • Su Yang
    Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Ji-Yong Han
    Interdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul, South Korea.
  • Ju-Hee Kang
    Department of Oral and Maxillofacial Radiology, Seoul National University Dental Hospital, Seoul, South Korea.
  • Jo-Eun Kim
    Department of Oral and Maxillofacial Radiology, Seoul National University Dental Hospital, Seoul, Korea.
  • Kyung-Hoe Huh
    4 Department of Oral and Maxillofacial Radiology, School of Dentistry, Seoul National University, Seoul, Korea.
  • Won-Jin Yi
    Department of Oral and Maxillofacial Radiology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, Korea. wjyi@snu.ac.kr.
  • Min-Suk Heo
    4 Department of Oral and Maxillofacial Radiology, School of Dentistry, Seoul National University, Seoul, Korea.
  • Sam-Sun Lee
    Department of Oral and Maxillofacial Radiology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, Korea.

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