Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method.

Journal: Computers in biology and medicine
Published Date: Apr 8, 2017

Abstract

BACKGROUND: Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an alternative way to visualize the entire small intestine without invasiveness to the patient. It is useful to characterize celiac disease, but hours are need to manually analyze the retrospective data of a single patient. Computer-aided quantitative analysis by a deep learning method helps in alleviating the workload during analysis of the retrospective videos.

Authors

  • Teng Zhou
    School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China.
  • Guoqiang Han
  • Bing Nan Li
    Department of Biomedical Engineering, Hefei University of Technology, Hefei 230009, China. Electronic address: bingoon@ieee.org.
  • Zhizhe Lin
    Affiliated Shantou Hospital of Sun Yat-sen University, Shantou Central Hospital, Shantou 515000, China.
  • Edward J Ciaccio
    Department of Medicine, Celiac Disease Center, Columbia University, New York, USA.
  • Peter H Green
    Department of Medicine, Celiac Disease Center, Columbia University, New York, USA.
  • Jing Qin
    School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China.

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