Deep-learning network for automated evaluation of root-canal filling radiographic quality.

Journal: European journal of medical research
PMID:

Abstract

BACKGROUND: Deep-learning networks are promising techniques in dentistry. This study developed and validated a deep-learning network, You Only Look Once (YOLO) v5, for the automatic evaluation of root-canal filling quality on periapical radiographs.

Authors

  • Liuli Jin
    Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, Guangdong, China.
  • Bingran Du
    Department of Stomatology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, Guangdong, China.
  • Zineng Xu
    R&D Department, Deepcare Inc., Beijing, China.
  • Hailong Bai
    R&D Department, Deepcare Inc., Beijing, China.
  • Peng Ding
    Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.
  • Ze Zhang
    Department of Stomatology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, 528308, China.
  • Yaopeng Pan
    Department of Stomatology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, Guangdong, China.
  • Yuan Lin
  • Zhiwen Li
    Digital Center, School of Stomatology, The Fourth Military Medical University, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Xi'an, Shaanxi, China.
  • Xiaohui Rausch-Fan
    Center of Clinic Research, Division of Conservative Dentistry and Periodontology, University Dental Clinic, Medical University Vienna, Vienna, 1090, Austria.
  • Fei Hu
    Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35487 USA.
  • Xueyang Zhang
    Department of Stomatology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, 528308, Guangdong, China. zxy123@smu.edu.cn.