Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video).

Journal: Gastrointestinal endoscopy
Published Date:

Abstract

BACKGROUND AND AIMS: The optical diagnosis of colorectal cancer (CRC) invasion depth with white light (WL) and image-enhanced endoscopy (IEE) remains challenging. We aimed to construct and validate a 2-modal deep learning-based system, incorporated with both WL and IEE images (named Endo-CRC) in estimating the invasion depth of CRC.

Authors

  • Zihua Lu
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China.
  • Youming Xu
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Liwen Yao
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China.
  • Wei Zhou
    Department of Eye Function Laboratory, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Wei Gong
    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei 430079, China.
  • Genhua Yang
    Department of Gastroenterology, Shenzhen Hospital of Southern Medical University, Shenzhen, China.
  • Mingwen Guo
    Department of Gastroenterology, The first hospital of Yichang, Yichang, China.
  • Beiping Zhang
    Department of Gastroenterology, Guangdong Province Traditional Chinese Medical Hospital, Guangzhou, China.
  • Xu Huang
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Chunping He
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China.
  • Rui Zhou
    College of New Energy and Environment, Jilin University, Changchun 130021, China.
  • Yunchao Deng
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Honggang Yu
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.