Polyp-Alert: Near real-time feedback during colonoscopy. Issue 3 (July 2015)

• Record Type: Journal Article
• Authors: Wang, Yi; Tavanapong, Wallapak; Wong, Johnny; Oh, Jung Hwan; de Groen, Piet C.
• Is Part Of: Computer methods and programs in biomedicine. Volume 120:Issue 3(2015)
• Page Start: 164
• Page End: 179
• Publication Date: 2015-07
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.04.002
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title id="sect0005">Highlights</title> <sec> <p id="spar0005"> <list id="lis0005"> <list-item id="lsti0005"> <label></label> <p id="par0005">We surveyed recent research in polyp detection in screening colonoscopy.</p> </list-item> <list-item id="lsti0010"> <label></label> <p id="par0010">We introduced a fast polyp detection algorithm cable of running at 10 frames per second on an off-the-shelf workstation. It correctly detects 97.7% of polyp shots in our data set.</p> </list-item> <list-item id="lsti0015"> <label></label> <p id="par0015">We evaluated our technique on 53 video files of procedures performed using Olympus and Fujinon scopes.</p> </list-item> <list-item id="lsti0020"> <label></label> <p id="par0020">Real-time polyp detection and feedback potentially help to reduce polyp miss rates to improve quality of care and quality of documentation.</p> </list-item> <list-item id="lsti0025"> <label></label> <p id="par0026">The proposed polyp detection algorithm is fast, effective, and potentially useful for improving quality of colonoscopy.</p> </list-item> </list> </p> </sec> </abstract>