Colorectal Polyp

Colorectal polyps are abnormal growths in the colon, some of which can develop into cancerous adenocarcinomas. Current research heavily focuses on improving the accuracy and efficiency of polyp detection and classification using artificial intelligence, particularly employing deep learning models like UNet, FPN, and CenterNet architectures, often enhanced with techniques such as contrastive learning and Bayesian methods for uncertainty quantification. These advancements aim to improve early diagnosis and prevention of colorectal cancer through automated analysis of endoscopic images and videos, potentially leading to better patient outcomes and reduced healthcare costs. The development of large, well-annotated datasets and methods to augment existing data are also crucial areas of ongoing investigation.