CLVOL Researchers Launch into Cutting-Edge Research Using AI

QUT CLVOL research team comprised of Jason Kugelman, David Alonso-Caneiro, Scott Read, Jared Hamwood, Stephen Vincent and Michael Collins have explored a range of ground-breaking deep learning techniques to analyse Optical Coherence Tomography (OCT) images. The team used artificial intelligence (AI) deep learning techniques to improve how images from the back of the eye can be better analysed to identify and monitor eye diseases. The team will be embarking on further research to test the AI technology on OCT images from the older population, specifically people with diagnosed eye disease such as age-related macular degeneration.

The team’s research findings have been published in the scientific journal, Nature Scientific Reports.  David Alonso-Caneiro and Jason Kugelman noted that the new software and A1 technology has been shared with eye researchers in Australia and overseas.

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