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Design and realization of an algorithm for capsule endoscope image recognition system / 南方医科大学学报
Article in Zh | WPRIM | ID: wpr-268958
Responsible library: WPRO
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.
Subject(s)
Full text: 1 Database: WPRIM Main subject: Algorithms / Pattern Recognition, Automated / Image Interpretation, Computer-Assisted / Capsule Endoscopy / Methods Type of study: Prognostic_studies Language: Zh Journal: Journal of Southern Medical University Year: 2012 Document type: Article
Full text: 1 Database: WPRIM Main subject: Algorithms / Pattern Recognition, Automated / Image Interpretation, Computer-Assisted / Capsule Endoscopy / Methods Type of study: Prognostic_studies Language: Zh Journal: Journal of Southern Medical University Year: 2012 Document type: Article