A Comprehensive Review of Glaucoma and Stargardt Disease Detection using Retinal Images

Senthilkumar A

Senthilkumar A Department of Biomedical Engineering, Karpagam Academy of Higher Education, Coimbatore, India

Keywords: Digital Image Processing, Stargardt Disease, Glaucoma, Diabetic Retinopathy, Biomedical, Healthcare Communities

Abstract

Digital image processing permit ophthalmologists to discover and treat various eye diseases. Precise and early identification is important in biomedical and healthcare communities. Retinal imaging discovers several diseases in eye. Retinal images are essential in diagnosing ocular diseases such as diabetic retinopathy (DR), Glaucoma and Stargardt disease. These diseases lead to blindness if not identified precisely. Glaucoma is chronic, progressive neuropathy which damages optic nerve and neural fiber bundle that transmits visual information from eye to brain. Stargardt disease (STGD) is form of hereditary macular dystrophy in childhood damaging one among in 10,000 individuals. Several researchers performed their research on Glaucoma and STGD identification. But, accuracy and time consumption was not enhanced. To resolve these issues, several glaucoma identification methods are reviewed and drawbacks are detected.

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