Segmentation and Classification of Diabetic Retinopathy
Keywords:
Retinal, Blindness, Blood vessels, Diabetic RetinopathyAbstract
Due to the severity of diabetes, diabetic retinopathy (DR) is caused. No main indications found
in initial phases of DR, but their quantity and severity rise with time. Initial detection of DR
over screening may help to stop vision loss. The initial symptoms of DR such as microaneurysms
(MAs) hemorrhage (HMs) and exudates (EXs). In this article, a hybrid approach is presented
for non-proliferative diabetic retinopathy (NPDR) detection. The suggested method consists of
four steps. In the first step contrast enhancement technique is employed and the second step is
using variance-based and mean methods for separating background image. The third step is
the Global threshold method for the extraction of candidate lesion. Finally, features are
extracted for classification. Presented methodology is evaluated using publically available
databases with different performance measures.
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