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This paper presents the culmination of our research in designing a system for computer-aided detection (CAD) of polyps in colonoscopy videos.
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The network is used to improve polyp detection by encompassing spatial and temporal correlation of the predictions while preserving real-time detections.
The proposed polyp region detection method is based on the elliptical shape that is common for nearly all small colon polyps.
Mar 25, 2011 · The importance of a colonoscopy in detecting and removing these pops and whether or not when you're removing them does a patient feel any pain.
Duration: 54:43
Posted: Apr 12, 2019
Posted: Apr 12, 2019
Missing: Videos. | Show results with:Videos.
Real-time computational support system is an urgent requirement for colonoscopies, as it may help clinicians to detect easily overlooked polyps and characterize ...
This paper presents a method to detect polyp automatically in a colonoscopy video. Our system has two stages: Candidate generation and candidate classification.
A deep-learning algorithm can function effectively to detect polyps in a prospectively collected series of colonoscopies, even in the setting of variable ...
Jul 10, 2021 · We present in this section results of the polyp detection and localization subchallenges, part of GIANA challenge.
May 18, 2020 · We have designed a deep-learning model, an “Artificial Intelligent Endoscopist (aka AI-doscopist)”, to localise colonic neoplasia during colonoscopy.