@Article{SantiagoSegui2014,
author="Santiago Segui
and Michal Drozdzal
and Ekaterina Zaytseva
and Fernando Azpiroz
and Petia Radeva
and Jordi Vitria",
title="Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for images",
journal="IEEE Transactions on Information Technology in Biomedicine",
year="2014",
volume="18",
number="6",
pages="1831--1838",
optkeywords="Wireless Capsule Endoscopy",
optkeywords="Small Bowel Motility Dysfunction",
optkeywords="Contraction Detection",
optkeywords="Structured Prediction",
optkeywords="Betweenness Centrality",
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.",
optnote="OR; MILAB; 600.046;MV",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2385), last updated on Thu, 04 Feb 2016 10:06:37 +0100",
doi="10.1109/JBHI.2014.2304179",
file=":http://refbase.cvc.uab.es/files/SDZ2014.pdf:PDF"
}