Simultaneous detection of dental caries and fissure sealant in intraoral photos by deep learning: a pilot study.

Journal: BMC oral health
Published Date: May 12, 2024

Abstract

BACKGROUND: Deep learning, as an artificial intelligence method has been proved to be powerful in analyzing images. The purpose of this study is to construct a deep learning-based model (ToothNet) for the simultaneous detection of dental caries and fissure sealants in intraoral photos.

Authors

  • Yanshan Xiong
    Department of Endodontics, Shenzhen Stomatology Hospital, Shenzhen, Guangdong, China.
  • Hongyuan Zhang
  • Shiyong Zhou
    Department of Endodontics, Shenzhen Stomatology Hospital, Shenzhen, Guangdong, China.
  • Minhua Lu
    Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, 518060, China. Electronic address: luminhua@szu.edu.cn.
  • Jiahui Huang
  • Qiangtai Huang
    Medical AI Lab, School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, Guangdong, China.
  • Bingsheng Huang
    School of Biomedical Engineering, Shenzhen University Health Sciences Center, Shenzhen, Guangdong 518060, P.R.China.
  • Jiangfeng Ding
    Department of Endodontics, Shenzhen Stomatology Hospital, Shenzhen, Guangdong, China. dentist_djf@hotmail.com.

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