Machine learning and deep learning based strategies for diagnosis of diabetic maculopathy from sdoct retinal scans
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Abstract
One of the major complications in human eyes due to Diabetes is
newlineDiabetic Retinopathy (DR). Diabetic retinopathy occurs when the blood or
newlineother fluids leaks from tiny blood vessels of the light-sensitive retinal tissues
newlineand accumulate. Due to this the retinal layers gets swollen, resulting in cloudy
newlineor blurred vision. It can cause loss of vision if it is left undiagnosed and
newlineuntreated.DR includes mainly three stages background retinopathy,
newlinepreproliferative stage and proliferative stage. Diabetic Maculopathy (DM) is a
newlinecondition of DR and is the main cause of vision loss. In DM, the macula
newlineregion, center portion of retina gets affected. DM can occur in any stage of
newlineDR, but it likely increases as DR worsens. The chances of occurrence of DM
newlineare high in persons with uncontrolled Type 1 or Type 2 diabetes for more than
newline10 years duration.Retina is a ten layered structure and the breakdown of blood retinal
newlinebarrier leads to Diabetic Macular Edema (DME), which is the cause of DM.
newlineInitially, edema starts occurring in the outer nuclear layer or outer plexiform
newlinelayer and hence the entire retinal layer thickness increases. In the advanced
newlineDM stage, DME may cause several structural changes in the retinal layers.
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