Covid-19 detection from X-ray images using Customized Convolutional Neural Network

Shahzad Shafiq, Luqman Ali, Wasif Khan, Rooh Ullah, Tanveer Ahmed Khan, Fady Alnaiiar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

COVID-19 continues to have a devastating impact on the lives of people all over the world. Various new technologies arose in the research environment to assist mankind in surviving and living a better life. It is important to screen the infected patients in a timely and cost-effective manner to combat this disease and avoid its transmission. To achieve this aim, detection of Covid-19 from radiological evaluation of chest x-ray images using deep learning algorithms is less expensive and easily available option as it ensures fast and efficient diagnosis of the disease. Therefore, this paper presents a novel customized convolutional neural network (CNN) approach for the detection of COVID-19 from chest x-ray images. The performance of the proposed model is evaluated on three different size datasets, created from publicly available datasets. Experimental results show that the proposed model has better performance on Dataset 2. A very large increase or decrease of the number of samples in the dataset degrades the performance of the proposed model. The performance of the CNN model is compared with traditional pretrained networks namely VGG-16, VGG-19, ResNet-50 and Inception-V3. All the models show promising performance on dataset 2 which shows that optimum amount of data is enough for the model to lean features from the input data. Overall, the best validation accuracy of 97.78 was achieved by the proposed model on dataset 2.

Original languageEnglish
Title of host publication2nd IEEE International Conference on Artificial Intelligence, ICAI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-12
Number of pages6
ISBN (Electronic)9781665468961
DOIs
Publication statusPublished - 2022
Event2nd IEEE International Conference on Artificial Intelligence, ICAI 2022 - Islamabad, Pakistan
Duration: Mar 30 2022Mar 31 2022

Publication series

Name2nd IEEE International Conference on Artificial Intelligence, ICAI 2022

Conference

Conference2nd IEEE International Conference on Artificial Intelligence, ICAI 2022
Country/TerritoryPakistan
CityIslamabad
Period3/30/223/31/22

Keywords

  • computer vision
  • Convolutional Neural Network
  • Covid-19
  • Deep Learning
  • Pandemic
  • SARs-2

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Health Informatics

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