Page 31 - லுட்விக் மாக்ஸிமிலியன் பல்கலைக்கழகம் News Today : Breaking News, Live Updates & Top Stories | Vimarsana

 E-Mail IMAGE: A, Optical colonoscopy and, B-D, CT colonography of a 9-mm polyp (arrow) in the descending colon of a 78-year-old woman. B, Virtual fly-through three-dimensional reconstructions were used for exact polyp. view more  Credit: Radiological Society of North America OAK BROOK, Ill. - A machine learning algorithm helps accurately differentiate benign and premalignant colorectal polyps on CT colonography scans, according to a study published in the journal Radiology. Colorectal cancer is among the three most common causes of cancer-related death among men and women in industrialized countries. Most types of colorectal cancer originate from adenomatous polyps gland-like growths on the mucous membrane lining the large intestine that develop over several years. Early detection and removal of these precancerous polyps can reduce the incidence and mortality of colorectal cancer.

United statesUniversity of wisconsinOak brookJens rickeStefan maurusClemensc cyranAnno graserPhilipp wespMichael ingrischSergio grosuChristian schulzDavida bluemkePhilippm kazmierczakUniversity hospitalPublic healthUniversity of wisconsin school medicine