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76962

Classification of Diabetic Retinopathy types based on Convolution Neural Network (CNN)

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Last updated: 04 Jan 2025

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Abstract

- Diabetes mellitus have an eye disease called diabetic retinopathy. The early discovery of the disease is a great achievement in management of diabetic retinopathy. We use Fundus images are used for identification of the nature of an illness or other problem through examination of the symptoms to check for any abnormalities or any change in the retina. In this paper, Convolutional Neural Networks (CNN) is performed to classify the retinal fundus images to normal, background and pre-proliferative retinopathy. The proposed model consists of 5 convolutional layers followed by 5 max pooling layers. Finally, a global average pooling is used. In this work we achieve accuracy reached 95.23%.

DOI

10.21608/mjeer.2019.76962

Keywords

diabetic retinopathy, Convolutional Neural Networks, fundus images

Authors

First Name

Hager

Last Name

Khalil

MiddleName

-

Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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First Name

Noha

Last Name

El-Hag

MiddleName

-

Affiliation

Communications and Electronics Department Faculty of Engineering, Minia University: Menouf, Egypt

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-

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-

Orcid

-

First Name

Ahmed

Last Name

Sedik

MiddleName

-

Affiliation

Department of Robotics and intelligent machines, Faculty of artificial intelligents Kafrelsheikh University: Egypt

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-

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-

Orcid

-

First Name

Walid

Last Name

El-Shafie

MiddleName

-

Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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-

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-

Orcid

-

First Name

Abd El-Naser

Last Name

Mohamed

MiddleName

-

Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt,

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-

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-

Orcid

-

First Name

Ashraf A. M.

Last Name

Khalaf

MiddleName

-

Affiliation

Electrical engineering Department Faculty of Engineering,Minia University: Egypt

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-

Orcid

-

First Name

Ghada M.

Last Name

El-Banby

MiddleName

-

Affiliation

Automatic Control Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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-

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-

Orcid

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First Name

Fathi I.

Last Name

Abd El-Samie

MiddleName

-

Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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-

City

-

Orcid

-

First Name

Adel S.

Last Name

El-Fishawy

MiddleName

-

Affiliation

Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

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-

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-

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Volume

28

Article Issue

ICEEM2019-Special Issue

Related Issue

9704

Issue Date

2019-12-01

Receive Date

2020-03-11

Publish Date

2019-12-01

Page Start

126

Page End

153

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_76962.html

Detail API

https://mjeer.journals.ekb.eg/service?article_code=76962

Order

45

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Classification of Diabetic Retinopathy types based on Convolution Neural Network (CNN)

Details

Type

Article

Created At

22 Jan 2023