Retinal fundus image segmentation and measurement
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Application background Diabetic retinopathy (DR) is one of the most important complications of diabetes mellitus,
which causes serious damages in the retina, consequently visual loss and sometimes
blindness if necessary medical treatment is not applied on time. One of the difficulties in
this illness is that the patient with diabetes mellitus requires a continuous screening for
early detection. So far, numerous methods have been proposed by researchers to automate
the detection process of DR in retinal fundus images. In this paper, we developed an alternative
simple approach to detect DR. This method was built on the inverse segmentation
method, which we suggested before to detect Age Related Macular Degeneration (ARMDs).