Amira S. Ashour*, Nilanjan Dey, Waleed S. Mohamed, Jolanda G. Tromp, R. Simon Sherratt, Fuqian Shi and Luminița Moraru Pages 1074 - 1084 ( 11 )
Wireless Capsule Endoscopy (WCE) is a highly promising technology for gastrointestinal (GI) tract abnormality diagnosis. However, low image resolution and low frame rates are challenging issues in WCE. In addition, the relevant frames containing the features of interest for accurate diagnosis only constitute 1% of the complete video information. For these reasons, analyzing the WCE videos is still a time consuming and laborious examination for the gastroenterologists, which reduces WCE system usability. This leads to the emergent need to speed-up and automates the WCE video process for GI tract examinations. Consequently, the present work introduced the concept of WCE technology, including the structure of WCE systems, with a focus on the medical endoscopy video capturing process using image sensors. It discussed also the significant characteristics of the different GI tract for effective feature extraction. Furthermore, video approaches for bleeding and lesion detection in the WCE video were reported with computer-aided diagnosis systems in different applications to support the gastroenterologist in the WCE video analysis. In image enhancement, WCE video review time reduction is also discussed, while reporting the challenges and future perspectives, including the new trend to employ the deep learning models for feature Learning, polyp recognition, and classification, as a new opportunity for researchers to develop future WCE video analysis techniques.
Endoscopy capsule, video analysis, bleeding detection, reviewing time reduction, wireless video gastrointestinal (GI) endoscopy capsule, computer- aided diagnosis.
Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, 31527, Department of Information Technology, Techno India College of Technology, West Bengal, 740000, Department of Internal Medicine, Faculty of Medicine, Tanta University, Tanta, 31527, Computer Science Department, Center for Visualization and Simulation, Duy Tan University, Da Nang, Department of Biomedical Engineering, University of Reading, Reading, Berkshire, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey, 08903, Faculty of Sciences and Environment, Dunarea de Jos University of Galati, Galati