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Training and validation of an automated algorithm to differentiate no and minimal diabetic retinopathy from more severe stages in wide‐field images

open access: yesActa Ophthalmologica, EarlyView.
Abstract Purpose Diabetic retinopathy (DR) is a leading cause of blindness in the working‐age population. Screening is essential to identify and treat sight‐threatening stages prior to irreversible visual loss. This study aimed to train and validate an automated algorithm to identify no or minimal DR, potentially saving resources for specialist ...
Lars Morten Skollerud   +4 more
wiley   +1 more source

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