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A Novel Techniques for Detection of Diabetic Mellitus in Human Eyes


Affiliations
1 School of Medicine and Health Sciences, George Washington University, Washington DC, United States
2 Medicine and Health Sciences, George Washington University, Washington DC, United States
     

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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.


Keywords

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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  • A Novel Techniques for Detection of Diabetic Mellitus in Human Eyes

Abstract Views: 146  |  PDF Views: 1

Authors

Moses Hensley Duku
School of Medicine and Health Sciences, George Washington University, Washington DC, United States
Sai Gu
Medicine and Health Sciences, George Washington University, Washington DC, United States
Essel BenHagan
School of Medicine and Health Sciences, George Washington University, Washington DC, United States

Abstract


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.


Keywords


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