Abstract
We propose a technique for localization of diabetic macular edema areas via graph-based segmentation of OCT retinal images. The relevance of the research is associated with the high incidence rate of severe eye conditions due to diabetic macular edema among the world population. The technique relies upon a highly efficient graph-based image segmentation. Using a set of specially selected parameters, the accuracy of retinal area segmentation is enhanced. Optimal parameters found in the course of research have enabled a segmentation error of 2% to be achieved.
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