Deep learning in the diagnosis of maxillary sinus diseases: a systematic review.

Journal: Dento maxillo facial radiology
PMID:

Abstract

OBJECTIVES: To assess the performance of deep learning (DL) in the detection, classification, and segmentation of maxillary sinus diseases.

Authors

  • Ziang Wu
    Department of Prosthodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; College of Stomatology, Shanghai Jiao Tong University, Shanghai, China; National Center for Stomatology, Shanghai, China; National Clinical Research Center for Oral Diseases, Shanghai, China; Shanghai Key Laboratory of Stomatology, Shanghai, China; Shanghai Research Institute of Stomatology, Shanghai, China.
  • Xinbo Yu
    Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, People's Republic of China.
  • Yizhou Chen
    School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.
  • Xiaojun Chen
    Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
  • Chun Xu
    Xinjiang University of Finance and Economics, Urmqi 830011, China.