SAN FRANCISCO — A screening strategy combining fundus and OCT imaging improved the accuracy of age-related macular degeneration classification, according to data presented at the American Academy of Ophthalmology annual meeting.
The bimodal deep convolutional neural networks (DCNN) “combo” test could be used to help facilitate screening in community medical centers and better differentiate wet AMD from polypoidal choroidal vasculopathy (PCV), Zhiyan Xu, of the Chinese Academy of Medical Sciences and the department of ophthalmology at Peking Union Medical College Hospital in
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