Considered the diagnosis of diseases using image processing is one of the most
important areas of image processing techniques used in the medical field, Where is the
digital data in the field of ophthalmology focus of researchers for automatic dete
ction of
some important diseases such as diabetic retinopathy (DR).
And is defined as damage to the retina of the eye comes as serious complications and
on the human body complications resulting from diabetes in the long term and is
considered one of the most important causes of blindness in the world and cause serious
damage to the retina.
The research aims to Assess the performance of some of the methods used in the
diagnosis of diabetic retinopathy by revealing one of the most important accompanying
pests him in the retina of the eye and is the exudates and through diagnosed in images
digital fundus through image processing techniques where this detection process
contributes in helping to early detection.
This study aim to determine the percentage of Blindness among
patients, who visit retina clinic, and to know the main retinopathies
leading to blindness, and to achieve this purpose, medical records of
852 patients who visited retina clinic betwee
n January 2015 and
January 2016 were analyzed. That information was classified
according to the visual acuity and retinopathy. Data was entered and
analyzed using SPSS version 23.
To determine the percentage of Diabetic retinopathy
patients among patients presenting at retina clinic at Almouassat
University Hospital, and to study their systemic and ocular history,
their diabetic retinopathy classification and macular involvement.
