@Inbook{DeboraGil2015,
author="Debora Gil
and F. Javier Sanchez
and Gloria Fernandez Esparrach
and Jorge Bernal",
chapter="3D Stable Spatio-temporal Polyp Localization in Colonoscopy Videos",
title="Computer-Assisted and Robotic Endoscopy. Revised selected papers of Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015",
year="2015",
volume="9515",
pages="140--152",
optkeywords="Colonoscopy",
optkeywords="Polyp Detection",
optkeywords="Polyp Localization",
optkeywords="Region Extraction",
optkeywords="Watersheds",
abstract="Computational intelligent systems could reduce polyp miss rate in colonoscopy for colon cancer diagnosis and, thus, increase the efficiency of the procedure. One of the main problems of existing polyp localization methods is a lack of spatio-temporal stability in their response. We propose to explore the response of a given polyp localization across temporal windows in order to selectthose image regions presenting the highest stable spatio-temporal response.Spatio-temporal stability is achieved by extracting 3D watershed regions on thetemporal window. Stability in localization response is statistically determined by analysis of the variance of the output of the localization method inside each 3D region. We have explored the benefits of considering spatio-temporal stability in two different tasks: polyp localization and polyp detection. Experimental results indicate an average improvement of 21:5\% in polyp localization and 43:78\% in polyp detection.",
optnote="IAM; MV; 600.075",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2733), last updated on Thu, 16 Feb 2023 12:08:46 +0100",
doi="10.1007/978-3-319-29965-5_14",
file=":http://refbase.cvc.uab.es/files/GSF2015.pdf:PDF"
}