Background: Over the past 20 years, the advancement of artificial intelligence (AI) and deep
learning (DL) has allowed for fast sorting and analysis of large sets of data. In the field of …

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: In the past, image-based computer-assisted diagnosis and detection systems
have been driven mainly from the field of radiology, and more specifically mammography …

The adenoma detection rate is an established quality indicator for colonoscopy. For
instance, a 1% increase in the adenoma detection rate was associated with a 3% decrease …

The adenoma detection rate is an established quality indicator for colonoscopy. For
instance, a 1% increase in the adenoma detection rate was associated with a 3% decrease …

Given the increased interest in utilizing artificial intelligence as an assistive tool in the
medical sector, colorectal polyp detection and classification using deep learning techniques …

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) …

Detecting colorectal polyps via machine learning | Nature Biomedical Engineering Skip to main
content Thank you for visiting nature.com. You are using a browser version with limited support …

Purpose of review This review highlights the history, recent advances, and ongoing
challenges of artificial intelligence (AI) technology in colonic polyp detection. Recent …

Deep learning is an improvement to the neural network that contains more computational
layers that allow for higher levels of abstraction and prediction in the data. So far, it is …