The team, led by Jun Cheng of A*STAR Institute for Infocomm Research, developed a computerized technique to measure cup-to-disc ratio from two-dimensional images of the back of the eye. The researchers developed an algorithm to divide the images into superpixels and classifies as optic cup or optic disc.
Currently, three methods are in place for glaucoma screening. They are all either not sensitive enough for early detection or require specialized equipment and are expensive and subjective.
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