Identification of different stages of Diabetic Retinopathy using artificial neural network

Author

Kanth, Saket ; Jaiswal, Ayush ; Kakkar, Misha

fYear

2013

fDate

8-10 Aug. 2013

Firstpage

479

Lastpage

484

Abstract

In this study, we recognize different stages of Diabetic Retinopathy (NPDR - Non Proliferative Diabetic Retinopathy and PDR - Proliferative Diabetic Retinopathy) and differentiate it from a normal eye with the study of fundus images. Features are extracted from these images and fed into the MLP (Multilayer Perceptron) for classification and the results have shown an accuracy of 94.11%.

Keywords

diseases; eye; feature extraction; image classification; medical image processing; multilayer perceptrons; MLP; NPDR; artificial neural network; feature extraction; fundus image; multilayer perceptron; nonproliferative diabetic retinopathy; normal eye; Biomedical imaging; Blood vessels; Diabetes; Feature extraction; Optical imaging; Retina; Retinopathy; Diabetic Retinopathy; Exudates; Fundus Images; Multilayer Perceptron (MLP);

fLanguage

English

Publisher

ieee

Conference_Titel

Contemporary Computing (IC3), 2013 Sixth International Conference on

Conference_Location

Noida

Print_ISBN

978-1-4799-0190-6

Type

conf

DOI

10.1109/IC3.2013.6612243

Filename

6612243

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3230010