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318658

An implementation of a Smart System based on Deep Learning for Pneumonia Infection Detection

Article

Last updated: 28 Dec 2024

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-

Tags

Engineering

Abstract

Pneumonia is a serious respiratory infection that can lead to severe health complications if not detected and treated early. In this paper, we propose a smart system based on deep learning for pneumonia infection detection. The system will be deployed as a web app that can receive chest x-ray images uploaded by users and return a prediction of whether the x-ray injured or no. Through the proposed smart Web application, anybody and anywhere may now access the model. There was no need for specialized knowledge, the system uses a convolutional neural network (CNN) to analyze chest X-ray images and identify signs of pneumonia infection. The CNN is trained on a large dataset of chest X-ray images labeled as either normal or infected with pneumonia. The system can be integrated into existing healthcare systems to provide early detection and timely treatment of pneumonia infections, thereby improving patient outcomes and reducing healthcare costs.

DOI

10.21608/dusj.2023.318658

Keywords

Pneumonia image classification, Deep learning, VGG16, a web app

Authors

First Name

Hesham A.

Last Name

Ali

MiddleName

-

Affiliation

Faculty of Artificial Intelligence, Delta University for Science and Technology, Gamasa, 35712, Egypt. Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt.

Email

-

City

-

Orcid

-

First Name

Rana

Last Name

Osama

MiddleName

-

Affiliation

Faculty of Artificial Intelligence, Delta University for Science and Technology, Gamasa, 35712, Egypt.

Email

-

City

-

Orcid

-

First Name

Raneem

Last Name

Mohamed

MiddleName

-

Affiliation

Faculty of Artificial Intelligence, Delta University for Science and Technology, Gamasa, 35712, Egypt

Email

-

City

-

Orcid

-

First Name

Esraa

Last Name

Mahmoud

MiddleName

-

Affiliation

Faculty of Artificial Intelligence, Delta University for Science and Technology, Gamasa, 35712, Egypt

Email

-

City

-

Orcid

-

First Name

Samia M.

Last Name

Abd-Alhalem

MiddleName

-

Affiliation

Faculty of Artificial Intelligence, Delta University for Science and Technology, Gamasa, 35712, Egypt.

Email

-

City

-

Orcid

-

First Name

Ali E.

Last Name

Takieldeen

MiddleName

-

Affiliation

Faculty of Artificial Intelligence, Delta University for Science and Technology, Gamasa, 35712, Egypt.

Email

-

City

-

Orcid

-

Volume

6

Article Issue

2

Related Issue

43625

Issue Date

2023-09-01

Receive Date

2023-09-25

Publish Date

2023-09-01

Page Start

277

Page End

286

Print ISSN

2636-3046

Online ISSN

2636-3054

Article File

DUSJ_Volume 6_Issue 2_Pages 277-286.pdf

PDF . 772.1kB

Link

https://dusj.journals.ekb.eg/article_318658.html

Detail API

https://dusj.journals.ekb.eg/service?article_code=318658

Order

318,658

Type

Original research papers

Type Code

1,769

Publication Type

Journal

Publication Title

Delta University Scientific Journal

Publication Link

https://dusj.journals.ekb.eg/

MainTitle

An implementation of a Smart System based on Deep Learning for Pneumonia Infection Detection

Details

Type

Article

Created At

28 Dec 2024