@InProceedings{QuentinAngermann2017,
author="Quentin Angermann
and Jorge Bernal
and Cristina Sanchez Montes
and Gloria Fernandez Esparrach
and Xavier Gray
and Olivier Romain
and F. Javier Sanchez
and Aymeric Histace",
title="Towards Real-Time Polyp Detection in Colonoscopy Videos: Adapting Still Frame-Based  Methodologies for Video Sequences Analysis",
booktitle="4th International Workshop on Computer Assisted and Robotic Endoscopy",
year="2017",
pages="29--41",
optkeywords="Polyp detection",
optkeywords="colonoscopy",
optkeywords="real time",
optkeywords="spatio temporal coherence",
abstract="Colorectal cancer is the second cause of cancer death in United States: precursor lesions (polyps) detection is key for patient survival. Though colonoscopy is the gold standard screening tool, some polyps are still missed. Several computational systems have been proposed but none of them are used in the clinical room mainly due to computational constraints. Besides, most of them are built over still frame databases, decreasing their performance on video analysis due to the lack of output stability and not coping with associated variability on image quality and polyp appearance. We propose a strategy to adapt these methods to video analysis by adding a spatio-temporal stability module and studying a combination of features to capture polyp appearance variability. We validate our strategy, incorporated on a real-time detection method, on a public video database. Resulting method detects allpolyps under real time constraints, increasing its performance due to ouradaptation strategy.",
optnote="MV; 600.096; 600.075",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2977), last updated on Thu, 16 Feb 2023 11:59:13 +0100",
file=":http://refbase.cvc.uab.es/files/ABS2017b.pdf:PDF"
}