“A team of researchers led by Jun Cheng of the A*STAR Institute for Infocomm Research, Singapore, has developed a novel automated technology that screens for glaucoma more accurately and quickly than existing methods,” reports Science Daily. “The computerized technique developed by Cheng and his colleagues measures the CDR from two-dimensional images of the back of the eye. The technique uses an algorithm that divides the images into hundreds of segments called superpixels and classifies each segment as part of either the optic cup or the optic disc. The cup and disc measurements can then be used to compute the CDR.” Read more.
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