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 ...

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".

Mission Statement: Evidence-based Complementary and Alternative Medicine (eCAM) is an international, peer-reviewed journal that seeks to understand the sources and to encourage rigorous research ...

Another condition is Lynch syndrome, or hereditary non polyposis colon cancer (HNPCC). People with this gene change have a higher risk ... especially in the face. Growths in the bowel, called polyps ...

Because the concentration of eosinophils in intestinal tissues is already high, the increase in numbers may be significant. As such, eosinophilia may be an indication of colorectal cancer, especially ...