%0 Journal Article
%T Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for images
%A Santiago Segui
%A Michal Drozdzal
%A Ekaterina Zaytseva
%A Fernando Azpiroz
%A Petia Radeva
%A Jordi Vitria
%J IEEE Transactions on Information Technology in Biomedicine
%D 2014
%V 18
%N 6
%F Santiago Segui2014
%O OR; MILAB; 600.046;MV
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2385), last updated on Thu, 04 Feb 2016 10:06:37 +0100
%X 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.
%K Wireless Capsule Endoscopy
%K Small Bowel Motility Dysfunction
%K Contraction Detection
%K Structured Prediction
%K Betweenness Centrality
%U http://refbase.cvc.uab.es/files/SDZ2014.pdf
%U http://dx.doi.org/10.1109/JBHI.2014.2304179
%P 1831-1838