Osteoporosis detection in panoramic radiographs using a deep convolutional neural network-based computer-assisted diagnosis system: a preliminary study.

Journal: Dento maxillo facial radiology
Published Date: Jul 13, 2018

Abstract

OBJECTIVES: To evaluate the diagnostic performance of a deep convolutional neural network (DCNN)-based computer-assisted diagnosis (CAD) system in the detection of osteoporosis on panoramic radiographs, through a comparison with diagnoses made by oral and maxillofacial radiologists.

Authors

  • Jae-Seo Lee
    Department of Oral and Maxillofacial Radiology, School of Dentistry, Dental Science Research Institute, Chonnam National University, Gwangju, South Korea.
  • Shyam Adhikari
    Division of Electronics Engineering, Chonbuk National University, Jeonju, South Korea.
  • Liu Liu
    Department of Oral and Maxillofacial Radiology, School of Dentistry, Dental Science Research Institute, Chonnam National University, Gwangju, South Korea.
  • Ho-Gul Jeong
    Dental Imaging Research Center, Medipartner, Seoul, South Korea.
  • Hyongsuk Kim
    Division of Electronics Engineering, Chonbuk National University, Jeonju, South Korea.
  • Suk-Ja Yoon
    Department of Oral and Maxillofacial Radiology, School of Dentistry, Dental Science Research Institute, Chonnam National University, Gwangju, South Korea.

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