Enhanced segmentation of gastrointestinal polyps from capsule endoscopy images with artifacts using ensemble learning.

Journal: World journal of gastroenterology
PMID:

Abstract

BACKGROUND: Endoscopy artifacts are widespread in real capsule endoscopy (CE) images but not in high-quality standard datasets.

Authors

  • Jun-Xiao Zhou
    Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, Guangzhou 510180, Guangdong Province, China.
  • Zhan Yang
    School of Mechanical and Electric Engineering, Collaborative Innovation Center of Suzhou Nano Science and Technology, Jiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou 215000, China. yangzhan@suda.edu.cn.
  • Ding-Hao Xi
    School of Information, Renmin University of China, Beijing 100872, China.
  • Shou-Jun Dai
    Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, Guangzhou 510180, Guangdong Province, China.
  • Zhi-Qiang Feng
    Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, Guangzhou 510180, Guangdong Province, China.
  • Jun-Yan Li
    School of Intelligent Systems Engineering , Sun Yat-sen University , Shenzhen 510275 , China.
  • Wei Xu
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, 471023 China.
  • Hong Wang
    Department of Cardiology, Liuzhou Workers' Hospital, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.