Volume & Issue no: Volume 4, Issue 4, July - August 2015
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Title: |
Microaneurysms Detection from Retinal Image and
Diabetic Retinopathy Grading |
Author Name: |
Kanchan Nemade, Prof. K. S. Bhagat |
Abstract: |
Abstract
From the last few decades, diabetes has emerged as a fast
growing disease. Diabetic retinopathy (DR) is the most
common diabetic eye disease. Diabetic Retinopathy is a
medical condition where the retina is damaged because fluid
leaks from blood vessels into the retina. In extreme cases, the
patient will become blind. So, early microaneurysms (MAs)
detection and diabetic retinopathy (DR) is important in
avoiding vision loss. Since the presence of micro aneurysms
(MAs) is usually the first sign of DR and occurs due to blood
vessel damage in the retina. Early MAs can help to reduce the
incidence of blindness and it is the first step in automated
screening of Diabetic retinopathy. The presences of MAs in
the retina are the earliest symptoms of DR. The counts of MAs
are used to indicate the severity of the DR disease and early
microaneurysms (MAs) detection and diabetic retinopathy
(DR) grading is important in avoiding vision loss.
Keywords: Diabetic Retinopathy (DR), microaneurysm
(MA). |
Cite this article: |
Kanchan Nemade, Prof. K. S. Bhagat , "
Microaneurysms Detection from Retinal Image and
Diabetic Retinopathy Grading" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 4, July - August 2015 , pp.
074-077 , ISSN 2278-6856.
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