Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video).

Journal: Gastrointestinal endoscopy
Published Date: Jul 11, 2019

Abstract

BACKGROUND AND AIMS: Few artificial intelligence-based technologies have been developed to improve the efficiency of screening for esophageal squamous cell carcinoma (ESCC). Here, we developed and validated a novel system of computer-aided detection (CAD) using a deep neural network (DNN) to localize and identify early ESCC under conventional endoscopic white-light imaging.

Authors

  • Shi-Lun Cai
    Endoscopy Center, Zhongshan Hospital of Fudan University, Shanghai, China; Endoscopy Research Institute of Fudan University, Shanghai, China.
  • Bing Li
  • Wei-Min Tan
    School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China.
  • Xue-Jing Niu
    School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China.
  • Hon-Ho Yu
    Kiang Wu Hospital, Macau SAR, China.
  • Li-Qing Yao
    Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Ping-Hong Zhou
    Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Bo Yan
    School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China.
  • Yun-Shi Zhong
    Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.

Keywords

External Resources

Popular Topics
Recent Journals