Results from the British COLO-DETECT trial add to the growing body of evidence supporting the use of artificial intelligence (AI)-aided colonoscopy to increase premalignant colorectal polyp ...

Implements a UNet architecture with a configurable encoder (e.g., ResNet). Saves the best model checkpoint during training. Includes a user-friendly infer.py script to run inference on test images.

Beginning at age 45, discuss with your healthcare provider which colorectal cancer screening is best for you based on your risk factors. Abnormal growths, called polyps, can form in the colon or ...

Legislative Bill 829 from State Sen. Carol Blood of Bellevue took effect Jan. 1. It requires insurance companies to cover each “integral part” of performing a colorectal cancer screening, including: ...

A state law that goes into effect Wednesday will make it easier for Virginians to get colorectal cancer screenings ... after receiving a diagnosis of a polyp or concern from a routine colon ...

Most colorectal cancers start with a polyp, Kim said, most of which are benign. However, some polyps can change into cancer over time, mostly over many years, like 10-15 years. Symptoms can ...

This repository provides the official implementations and experiments for Large Concept Models (LCM). The LCM operates on an explicit higher-level semantic representation, which we name a "concept".

While this technique usually allows removal of lesions up to 20 mm in size, larger polyps can be removed ... and minimal-invasive treatment of early colorectal neoplasia and precancers.