Paper Info
Title
Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for images.
Abstract
Intestinal contractions are one of the most important events to diagnose motility pathologies of the small intestine. When visualized by wireless capsule endoscopy (WCE), the sequence of frames that represents a contraction is characterized by a clear wrinkle structure in the central frames that corresponds to the folding of the intestinal wall. In this paper, we present a new method to robustly detect wrinkle frames in full WCE videos by using a new mid-level image descriptor that is based on a centrality measure proposed for graphs. We present an extended validation, carried out in a very large database, that shows that the proposed method achieves state-of-the-art performance for this task.
Year
DOI
Venue
2014
10.1109/JBHI.2014.2304179
IEEE J. Biomedical and Health Informatics
Keywords
DocType
Volume
biomechanics,small intestine,video signal processing,betweenness centrality measures,intestinal contractions,full wce videos,endoscopes,betweenness centrality,wireless capsule endoscopy,biomedical optical imaging,endoluminal videos,structured prediction,wrinkle frame detection,intestinal wall folding,central frames,mid-level image descriptor,image sequences,object detection,frame sequence,small bowel motility dysfunction,motility pathologiy diagnosis,graph theory,graphs,images,wireless capsule endoscopy (wce),medical image processing,contraction detection,clear wrinkle structure
Journal
18
Issue
ISSN
Citations 
6
2168-2208
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Santi Seguí1859.11
Michal Drozdzal200.34
Ekaterina Zaytseva311.39
Carolina Malagelada4445.77
Fernando Azpiroz5748.02
Petia Radeva61684153.53
Jordi Vitrià773798.14