quantitative analysis of patients with celiac disease by video capsule endoscopy a deep learning method.comput biol med10.1016j.compbiomed1文档.pdf

Computers in Biology and Medicine 85 (2017) 1–6 Contents lists available at ScienceDirect Computers in Biology and Medicine journal homepage: /locate/compbiomed Quantitative analysis of patients with celiac disease by video capsule MARK endoscopy: A deep learning method☆ a a b,⁎ c e e Teng Zhou , Guoqiang Han , Bing Nan Li , Zhizhe Lin , Edward J. Ciaccio , Peter H. Green , Jing Qind a School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China b Department of Biomedical Engineering, Hefei University of Technology, Hefei 230009, China c Affi liated Shantou Hospital of Sun Yat-sen University, Shantou Central Hospital, Shantou 515000, China d Center for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong e Department of Medicine, Celiac Disease Center, Columbia University, New York, USA A R T I C L E I N F O A B S T R A C T Keywords: Background . Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an Celiac disease alternative way to visualize the entire small intestine without invasiveness to the patient. It is useful to Videocapsule endoscopy characterize celiac disease, but hours are need to manually analyze the retrospective data of a single patient. Deep learning