Detection of Gastrointestinal Disease

    Project Code: 237
    It is projected that there will be over 75 million gastrointestinal endoscopic procedures performed in the U.S. and Europe combined by 2020. This technology will meet a growing demand to innovate on visualisation and detection of abnormalities of the patient’s gastrointestinal tract from endoscopy images obtained. With this technology, errors can be reduced and speed of diagnoses can be improved.
    By MMU
Project Overview

Gastrointestinal endoscopy is used in the field of investigation to diagnose the problems faced by patients with regards to their intestinal health. Common gastrointestinal disease symptoms include reflux, lesion, polyps and even bleeding in the inner layer of intestine which can be detected using gastrointestinal endoscopy, the process of which is recorded on video. However, distinguishing visual abnormalities in the intestine is a challenge for doctors as it is typically very time consuming.

This invention is a novel method of detecting abnormalities in endoscopy images by way of image processing in a customised and accurate way. This technique can provide better precision in detection, clearer segmentation and it can also enable doctors to record the segmented image with the comments from doctors in the database system.

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