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Investigation of Different Knowledge patterns in Diabetic Retinal Images

Kartik Ingole

Abstract


Diabetic Retinopathy (DR) is a harm to the retina due to uncontrolled blood sugar ranges. Early detection and prognosis of this sickness is vital as it may lead to complete vision loss if left untreated. In this work, a gadget for detecting the various degrees of DR is proposed. Image morphological operations and Thresholding strategies are used for segmenting the retinal capabilities like micro aneurysms, hemorrhages. Large set of functions are extracted from the pictures. Classification is done the use of Random woodland classifiers into four distinct stages particularly regular, Mild -NPDR, Moderate- NPDR and PDR for publicly available information set. The accuracy obtained is 91.2%.

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References


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