文章基本信息

标题：Early detection and Multistage classification of Diabetic Retinopathy using Random Forest Classifier
本地全文：下载
作者：Deepthi K Prasad ; Vibha L ; Venugopal K R 等
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2018
卷号：10
期号：3
页码：77-84
DOI：10.21817/ijcse/2018/v10i3/181003012
出版社：Engg Journals Publications
摘要：Diabetic Retinopathy (DR) is an injury to the retina due to uncontrolled blood sugar levels. Early detection and diagnosis of this disorder is essential as it may lead to complete vision loss if left untreated. In this work, a system for detecting the various stages of DR is proposed. Image morphological operations and Thresholding techniques are used for segmenting the retinal features like microaneurysms, hemorrhages. Large set of features are extracted from the images. Classification is performed using Random forest classifiers into four distinct stages namely normal, Mild -NPDR, Moderate- NPDR and PDR for publicly available data set. The accuracy obtained is 91.2%.
关键词：Diabetic Retinopathy; Fundus Images; Microaneurysms; Hemorrhages; Exudates; Random Forest