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    AI, Deep Learning Allow More Accurate Eye Testing with OCT

    Article obtained from BioPhotonics RSS Feed.

    Researchers at Queensland University of Technology (QUT) in Australia are now able to analyze OCT images of the eye closer and more accurately than ever before.

    OCT is commonly used by optometrists and ophthalmologists to obtain cross-sectional images of the eye that show different tissue layers. The researchers have developed a more detailed and accurate way to evaluate such images, particularly the back of the eye, using artificial intelligence (AI) deep learning techniques. “In our study, we looked for a new method of analyzing the images and extracting two main tissue layers at the back of the eye: the retina and choroid,” said David Alonso-Caneiro, senior research fellow and a professor in the QUT Health School of…

    Oct, 04 2019 |

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