ManageChatDiscover
268308

Medical Image Recognition Method for Respiratory System Viruses Diagnosis based on a Proposed Combined Neural Network System

Article

Last updated: 04 Jan 2025

OverviewSimilar Items

Subjects

-

Tags

Electrical Engineering

Abstract

Respiratory viral detection is a confusing and time-consuming task of constantly looking at clinical pictures of patients. So, there is a need to develop and improve the respiratory case prediction model as soon as possible to control the spread of Respiratory viruses.  Today advanced machine learning methods diagnose viruses such as Corona viruses that can be effectively classified. This paper proposes a scanning model based on using a combination of CNN (Convolutional Neural Network) and PNN (Probabilistic Neural Network) to classify images of Corona viruses. The proposed combined network, (PCN) system. The images used are resized, and the light was adjusted in a way that reflects the size of the Plaque damage and highlighted by converting the image to Hue Saturation Value (HSV). Essential distance information in an image is filtered, leaving important features of the image information. The PCN system uses the Convolutional Neural Network to calculate the dependent factors and passes the results to the Probabilistic Neural Network, and link the features of intermediate stages with the combined network to predict segmentation. As a result, PCN system achieves 100% accuracy.

DOI

10.21608/bfemu.2022.268308

Keywords

biomedical imaging, Image classification, COVID-19, Probabilistic Neural Network (PNN), Convolutional neural network (CNN), Computed Tomography (CT scan), Artificial Intelligence (AL), Deep Learning (DL), and Machine Learning (DL)

Authors

First Name

Mazhar

Last Name

B. Tayel

MiddleName

-

Affiliation

is with the Alexandria University, Alexandria, Egypt. He is now a professor in Electrical Engineering department

Email

profbasyouni@gmail.com

City

Alexandria

Orcid

-

First Name

Ahmed

Last Name

M. Fahmy

MiddleName

-

Affiliation

is a PhD student in Alexandria University, Alexandria, Egypt

Email

eng.ahmed.fahmy07@gmail.com

City

-

Orcid

-

Volume

47

Article Issue

5

Related Issue

36628

Issue Date

2022-10-01

Receive Date

2022-07-26

Publish Date

2022-10-01

Page Start

9

Page End

15

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 47_Issue 5_Pages 9-15.pdf

PDF . 1.4MB

Link

https://bfemu.journals.ekb.eg/article_268308.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=268308

Order

7

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Medical Image Recognition Method for Respiratory System Viruses Diagnosis based on a Proposed Combined Neural Network System

Details

Type

Article

Created At

22 Jan 2023