Hierarchical CNN-based occlusal surface morphology analysis for classifying posterior tooth type using augmented images from 3D dental surface models.

Journal: Computer methods and programs in biomedicine
Published Date: Jul 21, 2021

Abstract

OBJECTIVE: 3D Digitization of dental model is growing in popularity for dental application. Classification of tooth type from single 3D point cloud model without assist of relative position among teeth is still a challenging task.

Authors

  • Qingguang Chen
    Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
  • Junchao Huang
    School of Automation, Hangzhou Dianzi University, 310018, Hangzhou, China.
  • Hassan S Salehi
    Department of Electrical and Computer Engineering, California State University, Chico, 95929, United States.
  • Haihua Zhu
    Hospital of Stomatology of Zhejiang University, Hangzhou, 310018, China.
  • Luya Lian
    Hospital of Stomatology of Zhejiang University, Hangzhou, 310018, China.
  • Xiaomin Lai
    School of Automation, Hangzhou Dianzi University, 310018, Hangzhou, China.
  • Kaihua Wei

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