Tuesday, 11 February 2020

MATLAB code of Diabetics Retinopathy Detection using Neural Network

Diabetic retinopathy (DR) is a disease of eye, which leads to partial or even complete loss of visual capacity if left undiagnosed at the initial stage. Retinal lesions associated with diabetes are used to evaluate different stages and the severity of this disease. Microaneurysms are among the earliest signs of diabetic retinopathy they arise due to high sugar levels in the blood.

According to WHO (World Health Organisation) there will be 79 million people with diabetes by 2030, making the India Diabetic capital of the world. Among the patients below the age of 30 years, when first diagnosed with diabetes, the prevalence of retinopathy is 17% during the first 5 years. This increases to 97% after 15 years of diabetes. Amongst the patients above the age of 30 years, 20% have showed signs of retinopathy immediately after diagnosed and this increased to 78% after 15 years of diabetes.

Medical imaging allows scientists and physicians to understand potential lifesaving information using less invasive techniques. This automated algorithm indicates places in the image that require extra attention from the physician because they could be abnormal. These technologies are called Computer Aided Diagnosis (CAD).

Automatic detection of Diabetic Retinopathy (ADDR) is a fully automated system for detection of Diabetic Retinopathy (DR). Figure shows the block diagram of ADDR. Input to this system is a fundus image which is part of human eye that can be seen through the pupil. Fundus image is the interior surface of the eye, opposite the lens, and includes the retina,
optic disc, macula, Blood vessels and fovea. As the quality of the image is not satisfactory because of noise, bad contrast, uneven illumination etc. pre-processing is used to get better results.

Figure: Block Diagram of Diabetics Retinopathy Detection

MATLAB Implementation:

 Figure: MATLAB GUI of Diabetics Retinopathy Detection

Figure: MATLAB GUI of Classification of  Diabetics Retinopathy Detection

YouTube Video of the Project:

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