A deep learning approach to the diagnosis of atelectasis and attic retraction pocket in otitis media with effusion using otoscopic images.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PMID: 36227348

Abstract

BACKGROUND: This study aimed to develop and validate a deep learning (DL) model to identify atelectasis and attic retraction pocket in cases of otitis media with effusion (OME) using multi-center otoscopic images.

Authors

  • Junbo Zeng
    Department of Otolaryngology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
  • Wenting Deng
    Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
  • Jingang Yu
    School of Automation Science and Engineering, South China University of Technology, Guangzhou, China.
  • Lichao Xiao
    School of Automation Science and Engineering, South China University of Technology, China.
  • Suijun Chen
    Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
  • Xueyuan Zhang
    Department of Otolaryngology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107# Yanjiang West Road, Guangzhou, China.
  • Linqi Zeng
    Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Donglang Chen
    Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
  • Peng Li
    WuXi AppTec Co, Shanghai, China.
  • Yubin Chen
    Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Hongzheng Zhang
    Department of Otolaryngology-Head and Neck Surgery, Zhujiang Hospital, South Medical University, Guangzhou, China.
  • Fan Shu
    Department of Otolaryngology-Head and Neck Surgery, Zhujiang Hospital, South Medical University, Guangzhou, China.
  • Minjian Wu
    Department of Otolaryngology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
  • Yuejia Su
    Department of Otolaryngology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
  • Yuanqing Li
    Center for Brain Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
  • Yuexin Cai
    Department of Otolaryngology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
  • Yiqing Zheng
    Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, China; Institute of Hearing and Speech-Language Science, Sun Yat-sen University, China; Department of Hearing and Speech-Language Science, Xinhua College, Sun Yat-sen University, China. Electronic address: zhengyiq@mail.sysu.edu.cn.

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