Artificial intelligence for caries detection: a novel diagnostic tool using deep learning algorithms.

Journal: Oral radiology
Published Date: Mar 18, 2024

Abstract

OBJECTIVES: The aim of this study was to develop an assessment tool for automatic detection of dental caries in periapical radiographs using convolutional neural network (CNN) architecture.

Authors

  • Yiliang Liu
    College of Computer Science, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, 610065, China.
  • Kai Xia
    State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, No. 14, 3rd section, South Renmin Road, Chengdu, 610041, Sichuan, China.
  • Yueyan Cen
    State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, No. 14, 3rd section, South Renmin Road, Chengdu, 610041, Sichuan, China.
  • Sancong Ying
    College of Computer Science, Sichuan University, Chengdu, Sichuan 610041, China.
  • Zhihe Zhao
    State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China.

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