Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs.

Journal: Dento maxillo facial radiology
PMID: 33405976

Abstract

OBJECTIVE: The aim of this study was to evaluate the use of a convolutional neural network (CNN) system for predicting C-shaped canals in mandibular second molars on panoramic radiographs.

Authors

  • Su-Jin Jeon
    Department of Conservative Dentistry, Wonkwang University Daejeon Dental Hospital, Daejeon, South Korea.
  • Jong-Pil Yun
    Safety System Research Group, Korea Institute of Industrial Technology (KITECH), Gyeongsan, South Korea.
  • Han-Gyeol Yeom
    Department of Oral and Maxillofacial Radiology, Daejeon Dental Hospital, Wonkwang University College of Dentistry, Daejeon, Korea.
  • Woo-Sang Shin
    Safety System Research Group, Korea Institute of Industrial Technology (KITECH), Gyeongsan, South Korea.
  • Jong-Hyun Lee
    Safety System Research Group, Korea Institute of Industrial Technology (KITECH), Gyeongsan, South Korea.
  • Seung-Hyun Jeong
    Safety System Research Group, Korea Institute of Industrial Technology (KITECH), Gyeongsan, South Korea.
  • Min-Seock Seo
    Department of Conservative Dentistry, Wonkwang University Daejeon Dental Hospital, Daejeon, South Korea.

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