Accuracy of auto-identification of the posteroanterior cephalometric landmarks using cascade convolution neural network algorithm and cephalometric images of different quality from nationwide multiple centers.

Abstract

Authors

• Soo-Min Gil
  Department of Orthodontics, School of Dentistry, Wonkwang University, Iksan-si, South Korea.
• Inhwan Kim
  Department of computer science, Sangmyung University, Seoul, South Korea.
• Jin-Hyoung Cho
  Department of Orthodontics, Chonnam National University School of Dentistry, Gwangju, Korea.
• Mihee Hong
  Department of Orthodontics, School of Dentistry, Kyungpook National University, Daegu, Korea.
• Minji Kim
  Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
• Su-Jung Kim
  Department of Orthodontics, Kyung Hee University School of Dentistry, Seoul, Korea.
• Yoon-Ji Kim
  Department of Biomedical Engineering, College of Health Science, Yonsei University, Wonju, Kangwon-do, 26493, South Korea.
• Young Ho Kim
  Department of Orthodontics, Institute of Oral Health Science, Ajou University School of Medicine, Suwon, Korea.
• Sung-Hoon Lim
  Department of Orthodontics, College of Dentistry, Chosun University, Gwangju, Korea.
• Sang Jin Sung
  Department of Orthodontics, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, South Korea.
• Seung-Hak Baek
  Department of Orthodontics.
• Namkug Kim
  Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
• Kyung-Hwa Kang
  Department of Orthodontics, School of Dentistry, Wonkwang University, Iksan, Korea.

Keywords

External Resources