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A Novel Techniques for Detection of Diabetic Mellitus in Human Eyes

Moses Hensley Duku, Sai Gu, Essel BenHagan


The retina is a thin layer of nerve tissue that lines the inside of the back of the eye that is sensitive to light and is responsible for human visual abilities. The retina is the only place in the body where blood vessels can be directly observed and evaluated for pathological abnormalities, including disease like retinoblastoma or eye cancer. Retinoblastoma (RB) is a cancer of the retina that often occurs in infants and children which can cause blindness and even death. Retinoblastoma cancer can attack either side of the eye or both eyeballs. There are a number of methods of segmenting the blood vessels that are present in the retina & once the retinal nerve fibres are segmented, one can detect whether the eyes are affected with diabetic retinopathy or not. In fact, this detection depends on the area of the RNFL network. If the total area of the nerve fibre is less, then it is affected with Diabetic Retinopathy (DR) and if the area of the nerve network is more, then the eyes are not affected with the diabetic retinopathy and hence it is normal. The evaluation results reveals that the proposed model is best alternative for the retinoblastoma detection.


Segmentation, Retina, Nerve Fibre, Artificial Neural Networks, Detection, Blood Vessel, Diabetic Retinopathy, Data Sets, Histogram, Enhancement, Feature Extraction, Pre- Processing, Simulation, Image Processing, Matlab.

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