Automatic segmentation and detection of ectopic eruption of first permanent molars on panoramic radiographs based on nnU-Net.

Journal: International journal of paediatric dentistry
PMID: 35315146

Abstract

AIM: The purpose of this research was to present an artificial intelligence (AI) model, which can automatically segment and detect ectopic eruption of first permanent molars (EMMs) in early mixed dentition on panoramic radiographs using the no-new-Net (nnU-Net) model.

Authors

  • Haihua Zhu
    Hospital of Stomatology of Zhejiang University, Hangzhou, 310018, China.
  • Haojie Yu
    Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, China.
  • Fan Zhang
    Department of Anesthesiology, Bishan Hospital of Chongqing Medical University, Chongqing, China.
  • Zheng Cao
    College of Computer Science and Technology, Zhejiang University, Hangzhou, 310006, China.
  • Fuli Wu
    School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310006, China.
  • Fudong Zhu
    Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, 310006, China. zfd@zju.edu.cn.

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