Abstract
In recent years the medical profession has seen an ever increasing demand for diagnosis and a permanent cure for illnesses caused by climatic-changes, unwholesome food and environmental pollution. Also the appearances of hitherto unknown viral diseases have caused eye diseases, which have prompted surgeons to monitor the health of the eyes. Potential new therapies that may help in preserving sight in the growing population of diabetic patients into the 21st Century. Early detection of diseases affecting the eyes reduces the risk of permanent damage. Some of the serious conditions which warrant early diagnosis are: Glaucoma, floaters, macula degradation and diabetic retinopathy. In the early stages, a choice of treatment options exist, which dwindles as the disease spreads. A visual inspection of the optic disc, macula and the blood vessels of the eye requires to be done routinely. Diabetic patients run the risk of damage to retinal vessels, which are referred to as diabetic retinopathy. This may further be classified as: Non-proliferative diabetic retinopathy and proliferative diabetic retinopathy. In scientific literatures, feature extraction method has been reported for diagnosis and classification. In this study a systematic Decide, Detect, Determine and Do approach for analyzing diabetic retinopathy images has been taken up. The proposed approach gives a clearer picture of the abnormality, its type (NPDR or PDR), its status (viz., mild, moderate or severe) and finally the appropriate treatment.
Highlights
The two common retinal disorders that cause blindness are Diabetic Retinopathy (DR) and glaucoma
Treatment-4: Proliferative Diabetic Retinopathy (PDR)-Severe under control, Ragi with milk, sugar free food, wheat products and soul food are recommended
22 7 number of images the Existing system classifies are the number of normal images in trained folder is 20, the number of normal image classified is 17, the number of Non-Proliferative Diabetic Retinopathy (NPDR) mild images in trained folder is 20, the number of NPDR-Mild images classified is 15, the number of NPDR Moderate images in trained folder is 12, the number of NPDR-Moderate images classified is 8, the number of NPDR severe in trained folder is 20, the number of NPDR-severe images classified is 18 and the number of PDR images in trained folder is 28, the number of NPDR-Mild images classified is 20
Summary
The two common retinal disorders that cause blindness are Diabetic Retinopathy (DR) and glaucoma. Routine retinal examinations for diabetic patients guarantee the early discovery of DR which will in turn drastically lower the incidence of blindness. The occurrence of diabetes is pretty common and mass screening is time consuming and requires many skilled graders to inspect the fundus photographs to explore for retinal lesions. A reliable method for quantitative and automated evaluation of the occurrence of lesions in fundus images that is a more expensive tool is required to support the partial number of specialists, which may lead to reduction in examination time. The raw diagnostic information collected from patients is often enormous and a manual analysis of such a large data is hardly feasible. The problem arises when the vast raw diagnostic information collected from patients has to be manually diagnosed to decide as to what stage or class the patient has to be assigned, initially. In most of the cases, the boundaries between the different abnormal classes are not straightforward which further add to the complexity
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