title: [Design and realization of an algorithm for capsule endoscope image recognition system].
abstract: Discrimination of abnormal images from the numerous wireless capsule endoscope (WCE) video sequence images is laborious and time-consuming, so that a computer-based automatic image recognition system is desired for this task. We propose an algorithm to allow feature extraction from each image channel and decision fusion using multiple BP neural networks. The algorithm was tested and the results demonstrated its high efficiency and accuracy in identification of abnormalities in the WCE images.
authors: School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. likaixuan11111@163.com
authors: Kaixuan
authors: K
authors: Li
authors: Zhexing
authors: Z
authors: Liu
authors: Side
authors: S
authors: Liu
authors: Lijun
authors: L
authors: He
authors: Zhichong
authors: Z
authors: Luo
authors: Huafeng
authors: H
authors: Wang
mesh_terms: D000465:Algorithms; D053704:Capsule Endoscopy / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*