Diagnosis of in vivo vertical root fracture using deep learning on cone-beam CT images.

Journal: BMC oral health
PMID:

Abstract

OBJECTIVES: Evaluating the diagnostic efficiency of deep learning models to diagnose vertical root fracture in vivo on cone-beam CT (CBCT) images.

Authors

  • Ziyang Hu
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Zhong Yang Road 30, Nanjing City, 210008, Jiangsu, People's Republic of China.
  • Dantong Cao
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Zhong Yang Road 30, Nanjing City, 210008, Jiangsu, People's Republic of China.
  • Yanni Hu
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Zhong Yang Road 30, Nanjing City, 210008, Jiangsu, People's Republic of China.
  • Baixin Wang
  • Yifan Zhang
    Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang University, Hangzhou, Zhejiang 310058, China.
  • Rong Tang
    Division of Surgical Oncology, MGH, Boston, USA.
  • Jia Zhuang
    Department of NanoEngineering and Chemical Engineering Program, University of California San Diego, La Jolla, CA 92093, USA.
  • Antian Gao
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Zhong Yang Road 30, Nanjing City, 210008, Jiangsu, People's Republic of China.
  • Ying Chen
    Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Zitong Lin
    Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Zhong Yang Road 30, Nanjing City, 210008, Jiangsu, People's Republic of China. linzitong_710@163.com.