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Extracting Diagnostic Information from Optical Coherence Tomography Images of Diabetic Retinal Tissues Using Depth-dependent Attenuation rate and Fractal Analysis

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Abstract

The sensitivity of OCT images to sample diabetic morphology is tested by calculating attenuation coefficients and fractal dimension. Fractal analysis provided a better sensitivity, offering a potential diagnostic predictor for detecting early diabetic retinopathy.

© 2012 Optical Society of America

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