Diabetic retinopathy screening using retinal blood vessel and lesions segmentation: A comparative study

Divakar, Megha; Sau, Paresh Chandra; Bansal, Atul

doi:10.1109/ccaa.2017.8229970

Cited by 3 publications

(1 citation statement)

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“…It reduces the ability of the human body of storing and regulating sugar contents as per the needed percentage. It's difficult to overcome the disease like Diabetes which affects the human body functioning causes the damage to several human body parts [12,39]. Over the period of time, it is found that the circulatory system of the human body is get affected due to Diabetes the major part get affected is the retina.one of the severe complication of diabetes is Diabetic Retinopathy.Some of the symptoms are identified of Diabetic retinopathy like cotton wool spots in the retina,facing problem with vision which is called blurred vision,having a tiny dark spot at the center position of the retina and difficulty in seeing at night.…”

Section: Introductionmentioning

confidence: 99%

Complications of Sight Threatening Diabetic Retinopathy: A Review

Malik¹

2019

IJATCSE

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A disease mainly known as diabetes is causing several side effects on the human body. The most affected part of the human body is the human eye retina. This disease of the retina that can result in loss of vision. This phenomenon is known as Diabetic Retinopathy (DR.)Basically Daibetis reduces the capability of the human body to store and regulate the blood sugar , as a result of this, the retina of human eye gets effected. In the early stages DR is showing the typical result of damaging the human eye retina and further it leads to the Sight-threatening diabetic retinopathy (SDTR) i.e. complete loss of vision.Computer assisted diagnosis is one of the tool which helps to diagnose the diabetic patient by using the results of medical investigations. i.e assisting images, reports, etc. for initializing the treatment. In the screening of diabetes sight-threatening DR plays a vital role. These are some major techniques available till date for machine-driven analysis of STDR, to detect hemorrhages and microaneurysms. With limitations for analysis of STDR, the survey mainly focuses on both the qualitative as well as a quantitative comparison of the existing study.While considering the future work , it is a try to encapsulate the convenient algorithms for easy understanding and informative to the experimenters working in this field so that to understand the previous algorithms in a better way and try to develop the most effective one .

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Section: Introductionmentioning

confidence: 99%