Intestinal Polyp Image Recognition System

A new image recognition system that can handle huge amounts of images captured by capsule endoscopy was developed by three PhD students under the guidance of Prof. Max Meng (Department of Electronic Engineering). This system, with more than 90% accuracy in distinguishing intestinal polyp images has greatly shortened the time required by physicians to sort images with their own eyes.

A capsule endoscope is a medical device for examining the digestive tract. It will take more than 50,000 images in one check after being swallowed by a patient. It would be tiring and time-consuming for physicians to spend an average of two hours on each case to view all the photos taken in order to identify areas with abnormal conditions, such as polyp or bleeding. The invention of ‘Intestinal Polyp Recognition System for Capsule Endoscopy Images’ will solve this problem.