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A Transfer Learning based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging

by Gargi Desai, Nelly Elsayed, Zag Elsayed, Murat Ozer
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 9
Year of Publication: 2024
Authors: Gargi Desai, Nelly Elsayed, Zag Elsayed, Murat Ozer
10.5120/ijais2024923428

Gargi Desai, Nelly Elsayed, Zag Elsayed, Murat Ozer . A Transfer Learning based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging. International Journal of Computer Applications. 186, 9 ( Feb 2024), 1-8. DOI=10.5120/ijais2024923428

@article{ 10.5120/ijais2024923428,
author = { Gargi Desai, Nelly Elsayed, Zag Elsayed, Murat Ozer },
title = { A Transfer Learning based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2024 },
volume = { 186 },
number = { 9 },
month = { Feb },
year = { 2024 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number9/a-transfer-learning-based-approach-for-classification-of-covid-19-and-pneumonia-in-ct-scan-imaging/ },
doi = { 10.5120/ijais2024923428 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-29T03:28:39.322366+05:30
%A Gargi Desai
%A Nelly Elsayed
%A Zag Elsayed
%A Murat Ozer
%T A Transfer Learning based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 9
%P 1-8
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The world is still overwhelmed by the spread of the COVID- 19 virus. With over 250 Million infected cases as of November 2021 and affecting 219 countries and territories, the world remains in the pandemic period. Detecting COVID-19 using the deep learning method on CT scan images can play a vital role in assisting medical professionals and decision authorities in controlling the spread of the disease and providing essential support for patients. The convolution neural network is widely used in the field of large-scale image recognition. The current method of RT-PCR to diagnose COVID-19 is time-consuming and universally limited. This research aims to propose a deep learningbased approach to classify COVID-19 pneumonia patients, bacterial pneumonia, viral pneumonia, and healthy (normal cases). This paper used deep transfer learning to classify the data via Inception-ResNet-V2 neural network architecture. The proposed model has been intentionally simplified to reduce the implementation cost so that it can be easily implemented and used in different geographical areas, especially rural and developing regions.

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Index Terms

Computer Science
Information Sciences
Deep Learning Models
Classification

Keywords

Transfer learning image classification CT scan deep learning

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