… , this analysis considered all polyps detected at CTC for these … of polyps < 10mm can be
predicted with 94% sensitivity and 89% specificity[22]. This allows non-adenomatous polyps to …

… that the polyp detection model could attain a high accuracy, but the polyp type classification
still … early resecting of colon polyps, we have created an automatic detection system that can …

… Our goal was to develop an effective method for polyp detection system using colonoscopy
images that are processed and enhanced in resolution using deep learning techniques. …

… measure in colonoscopy, as it predicts the risk of interval cancer after colonoscopy. Measuring
and improving ADR is the central focus of the current quality movement in colonoscopy. …

… In total we used 1736 high-resolution images and every image contains a visible polyp from
… -resolution images and (2) if there is a relation between particular texture features and polyp …

… at different z resolutions. We ran a computer-aided polyp detection algorithm on phantom
data … collimation of a multislice CT scanner on a CAD polyp detector for a colon phantom.They …

… in [51] for polyp segmentation. In this paper, we focus on polyp detection from the endoscopic
… resolution and are better at detecting smaller objects. While the deeper layers have lower …

… the landmark National Polyp Study recently showed that colonoscopy was associated with
… images with a higher resolution, which could lead to increased polyp detection, as compared …

… through discussion, and when needed, disagreements were resolved in the author group. …
-based polyp detection systems during colonoscopy increases adenoma and polyp detection …

… We aimed to compare polyp miss rates with NBI with those of high resolution endoscopy (…
for colonoscopic surveillance of HPS patients with removal of all detected polyps. …