Cookies and Privacy

The University uses cookies on this website to provide the best experience possible including delivering personalised content on this website, other websites and social media. By continuing to use the site you agree to this, or your can go to our cookie policy to learn more and manage your settings.

Researchers develop tool to speed up COVID-19 diagnosis through x-rays

UNIVERSITY NEWS LAST UPDATED : 07 APRIL

A new healthcare tool that applies artificial intelligence to improve accuracy of COVID-19 detection in chest x-rays has been developed and shared with the World Health Organisation by researchers at Birmingham City University.

View our Digital Tech Courses

Birmingham City University

DeTraC, created by computer vision and data scientists Professor Mohamed Gaber and Dr Mohammed Abdelsamea, uses machine learning to assess and diagnose using large datasets of images from several hospitals across the world.

The technology is now publicly available within the global medical community as an open source program.

The announcement arrives on World Health Day, following a period of 10 days where the two academics – in collaboration with researcher Asmaa Abbas from Assiut University in Egypt - worked for 10 days to adapt and deploy their diagnostic tool in response to updates from WHO tracking the spread of the virus.

DeTraC, which stands for Decompose, Transfer and Compose, is a convolution neural network that can be trained using a limited number of medical images.

The Birmingham City University scientists’ work is the latest in a series of announcements made by the UK institution utilising the expertise, knowledge, resource and capacity of staff and students in order to contribute to the global fight against coronavirus.

Return to the previous page.