High Accuracy of Convolutional Neural Network for Evaluation of Helicobacter pylori Infection Based on Endoscopic Images: Preliminary Experience.

Abstract

Authors

• Wenfang Zheng
  Department of Gastroenterology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, China.
• Xu Zhang
  China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
• John J Kim
  Department of Gastroenterology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, China.
• Xinjian Zhu
  Department of Gastroenterology, Shaoxing Shangyu People's Hospital and Shangyu Hospital of the Second Affiliated Hospital, Medical School, Zhejiang University, Shaoxing, China.
• Guoliang Ye
  Department of Gastroenterology, Affiliated Hospital, Medical School, Ningbo University, Ningbo, China.
• Bin Ye
  Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
• Jianping Wang
  Department of Computer Science, City University of Hong Kong, 83 Tat Chee Ave, Kowloon Tong, Hong Kong, China. jianwang@cityu.edu.hk.
• Songlin Luo
  Department of Gastroenterology, Shangyu Hospital of Traditional Chinese Medicine, Shaoxing, China.
• Jingjing Li
  Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
• Tao Yu
  Department of Smart Experience Design Kookmin University, Seoul 02707, Republic of Korea.
• Jiquan Liu
• Weiling Hu
  Institute of Gastroenterology, Zhejiang University, Hangzhou, China.
• Jianmin Si
  Institute of Gastroenterology, Zhejiang University, Hangzhou, China.

Keywords

External Resources