Automated detection of small bowel lesions based on capsule endoscopy using deep learning algorithm.

Abstract

Authors

• Lan Li
  Department of Otolaryngology, Shenzhen Children's Hospital, Shenzhen, China.
• Liping Yang
  Department of Emergency, The First People's Hospital of Lianyungang, Lianyungang City, 222002, China.
• Bingling Zhang
  Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, Zhejiang 310003, China.
• Guofei Yan
  Zhejiang Center for Medical Device Evaluation, Hangzhou, China.
• Yaqing Bao
  GBA Center for Medical Device Evaluation and Inspection, National Medical Products Administration, Shenzhen, China.
• Renke Zhu
  Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, Zhejiang 310003, China.
• Shengjie Li
  Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China.
• Huogen Wang
  School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China.
• Ming Chen
  Department of Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
• Chaohui Jin
  Zhejiang Herymed Technology Co., Ltd, Hangzhou, China; Hithink RoyalFlush Information Network Co., Ltd, Hangzhou, China.
• Yishu Chen
  Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, Zhejiang 310003, China.
• Chaohui Yu
  Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.

Keywords

External Resources