Automatic detection of small bowel lesions with different bleeding risks based on deep learning models.

Journal: World journal of gastroenterology
Published Date: Jan 14, 2024

Abstract

BACKGROUND: Deep learning provides an efficient automatic image recognition method for small bowel (SB) capsule endoscopy (CE) that can assist physicians in diagnosis. However, the existing deep learning models present some unresolved challenges.

Authors

  • Rui-Ya Zhang
    Department of Gastroenterology, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, Shanxi Province, China.
  • Peng-Peng Qiang
    School of Computer and Information Technology, Shanxi University, Taiyuan 030006, Shanxi Province, China.
  • Ling-Jun Cai
    Department of Gastroenterology, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, Shanxi Province, China.
  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Yan Qin
    First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Yi-Qing Zhao
    Department of Gastroenterology, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, Shanxi Province, China.
  • Jun-Ping Wang
    Department of Obstetrics and Gynecology, Xinhua Hospital Chongming Branch, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

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