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Radiomics classification pipeline. Retinal OCT images were obtained at baseline, month 3, and month 6 follow-up appointments from nonresponding, recurring, and responding eyes. Images were preprocessed and then segmented to select for PED pixels. A battery of 52 texture features were then computed using the PED pixels. A linear discriminate analysis classifier was used to predict image response to as-needed anti-VEGF therapy.
