[Accuracy of tooth segmentation algorithm based on deep learning].

Journal: Shanghai kou qiang yi xue = Shanghai journal of stomatology
PMID: 39478388

Abstract

PURPOSE: The established automatic AI tooth segmentation algorithm was used to achieve rapid and automatic tooth segmentation from CBCT images. The three-dimensional data obtained by oral scanning of real isolated teeth were used as the gold standard to verify the accuracy of the algorithm.

Authors

  • Bo-Jun Zhang
    Department of Oral and Craniomaxillofacial Surgery, Shanghai Ninth People's Hospital，Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology; Shanghai Research Institute of Stomatology. Shanghai 200011, China. E-mail: 1411576398@qq.com.
  • Zhi-Ming Cui
  • Zhi-Xu Liu
  • Si-Yue Chen
  • Kai-Jun Gu
  • Si-Tong Li
  • Yan-Qi Wu
  • Ding-Gang Shen
  • Min Zhu
    Department of Infectious Diseases, Affiliated Taizhou Hospital of Wenzhou Medical University, No.50 Ximeng Road, Taizhou, 317000, China.

Keywords

External Resources

Popular Topics
Recent Journals