Diabetic Retinopathy Detection From Fundus Images |
Author(s): |
| Varadambika A , Vidya Academy of Science and Technology; Jucy Vareed, Vidya Academy of Science and Technology |
Keywords: |
| Diabetic Retinopathy Detection from Fundus Images, CIELAB color space, AHE, CNN |
Abstract |
|
Eye is one of the most important organ for sense of sight. It will be very difficult to do our daily activities if we have no vision capability. Diabetic retinopathy is one of the eye disease that is caused due to prolonged diabetes. The increased glucose level in the blood will damage the retinal blood vessels and can cause many complications like retinal detachment, blindness and so on. Hence, it is necessary to detect as well as diagnose DR at the earliest stage. Diabetic retinopathy has mainly four stages known as mild, moderate, severe and proliferative diabetic retinopathy. Different symptoms will be observed in each of these stages and the efficient detection of these symptoms can diagnose DR. The project aims to develop a system which is capable of detecting the presence of diabetic retinopathy as well as its different stages by using the technique of convolutional neural network. |
Other Details |
|
Paper ID: IJSRDV7I30599 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 1887-1891 |
Article Preview |
|
|
|
|
