Endoscpists always have tried to pursue a perfect colonoscopy, and application of artificial
intelligence (AI) using deep-learning algorithms is one of the promising supportive options …

Colorectal cancer (CRC) is the third most common cancer in the world. Colonoscopy has
contributed significantly to reduction of incidence and mortality of CRC. Integration of …

Background: Artificial intelligence (AI) had been shown to be potentially useful in colonic
polyp detection. However, its performance under special imaging methods eg narrow band …

Introduction: Undetected colonic polyps are considered a major cause of interval cancer of
the colon. The Automatic Polyp Detection System (APDS)(Magentiq Eye LTD, Haifa, Israel) …

Background: Recently the American Society for Gastrointestinal Endoscopy addressed the
'resect and discard'strategy, determining that accurate in vivo differentiation of colorectal …

Artificial intelligence (AI) is a computer technology for mathematical modeling that uses
nonlinear statistical analysis. While multilayer perceptron network is used for prediction of …

As a relatively high percentage of adenoma polyps are missed, a computer-aided diagnosis
(CAD) tool based on deep learning can aid the endoscopist in diagnosing colorectal polyps …

The present study aimed to develop an AI-based system for the detection and classification
of polyps using colonoscopy images. A total of about 256,220 colonoscopy images from …

The quality and quantity of endoscopic images that physicians obtain are dramatically
increasing along with the recent advance in imaging technologies. However, benefits …

We developed and validated a deep-learning algorithm for polyp detection. We used a
YOLOv2 to develop the algorithm for automatic polyp detection on 8,075 images (503 …