Detection of C-shaped mandibular second molars on panoramic radiographs using deep convolutional neural networks.

Journal: Clinical oral investigations
PMID: 39557710

Abstract

OBJECTIVES: The C-shaped mandibular second molars (MSMs) may pose an endodontic challenge. The aim of this study was to develop a convolutional neural network (CNN)-based deep learning system for the diagnosis of C-shaped MSMs on panoramic radiographs.

Authors

  • Long Jin
  • Wenyuan Zhou
    Department of Dentistry and Central Lab, Ninth People's Hospital of Suzhou, Soochow University, Suzhou, China.
  • Ying Tang
    Department of Ultrasound, Tianjin First Central Hospital, NanKai University, Tianjin, 300192, China. drtang2002@aliyun.com.
  • Zezheng Yu
    Department of Dentistry and Central Lab, Ninth People's Hospital of Suzhou, Soochow University, Suzhou, China.
  • Juan Fan
    College of Geology and Environment, Xi'an University of Science and Technology, Xian, 710077, Shanxi, China.
  • Lu Wang
    Department of Laboratory, Akesu Center of Disease Control and Prevention, Akesu, China.
  • Chao Liu
    Anti-Drug Technology Center of Guangdong Province, National Anti-Drug Laboratory Guangdong Regional Center, Guangzhou 510230, China.
  • Yongchun Gu
    Department of Dentistry and Central Lab, Ninth People's Hospital of Suzhou, Soochow University, Suzhou, China. guyc7152@163.com.
  • Panpan Zhang
    School of Information Science and Technology, Northwest University, Xi'an, China.

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