TY - CONF AU - Quentin Angermann AU - Jorge Bernal AU - Cristina Sanchez Montes AU - Gloria Fernandez Esparrach AU - Xavier Gray AU - Olivier Romain AU - F. Javier Sanchez AU - Aymeric Histace A2 - CARE PY - 2017// TI - Towards Real-Time Polyp Detection in Colonoscopy Videos: Adapting Still Frame-Based Methodologies for Video Sequences Analysis BT - 4th International Workshop on Computer Assisted and Robotic Endoscopy SP - 29 EP - 41 KW - Polyp detection KW - colonoscopy KW - real time KW - spatio temporal coherence N2 - 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. L1 - http://refbase.cvc.uab.es/files/ABS2017b.pdf N1 - MV; 600.096; 600.075 ID - Quentin Angermann2017 ER -