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73%, which was higher than that of the existing methods with significant difference ( 0.01). Experimental results demonstrated that the proposed method is faster and achieves more reliable segmentation results than the current HRF segmentation algorithms. We expect that this method will contribute to clinical diagnosis and disease surveillance. Our framework for the automated HRF segmentation of SD-OCT volumes may improve the clinical diagnosis of DR. Our framework for the automated HRF segmentation of SD-OCT volumes may improv
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