A Review Paper on Prediction of Diabetic Retinopathy using Data Mining Techniques
Author(s):
Pooja Rathi, Dr. Anurag Sharma
Keywords:
Diabetic Retinopathy, Data mining techniques, Retinal blood vessels, Exudates
Abstract
One of the major problem diabetic patients suffers from is the Diabetic Retinopathy and blindness. Since the number of diabetes patients is continuously increasing, this results in increase in the data as well. Hence to extract the useful information and unseen knowledge, use of data mining (DM) techniques become necessary. DM plays an important role in DR as this can be beneficial for the better health of the society. There are many techniques and algorithms that help to diagnose DR in retinal fundus images. This paper reviews, classifies and compares the algorithms and techniques previously proposed in order to develop better and more effective algorithms.
Article Details
Unique Paper ID: 144652
Publication Volume & Issue: Volume 4, Issue 1
Page(s): 292 - 297
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