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Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images

arXiv 2105.08199 ↗First posted 17 May 2021eess.IV cs.CVcited by 9

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Abstract (arXiv)

By the start of 2020, the novel coronavirus disease (COVID-19) has been declared a worldwide pandemic. Because of the severity of this infectious disease, several kinds of research have focused on combatting its ongoing spread. One potential solution to detect COVID-19 is by analyzing the chest X-ray images using Deep Learning (DL) models. In this context, Convolutional Neural Networks (CNNs) are presented as efficient techniques for early diagnosis. In this study, we propose a novel randomly initialized CNN architecture for the recognition of COVID-19. This network consists of a set of different-sized hidden layers created from scratch. The performance of this network is evaluated through two public datasets, which are the COVIDx and the enhanced COVID-19 datasets. Both of these datasets consist of 3 different classes of images: COVID19, pneumonia, and normal chest X-ray images. The proposed CNN model yields encouraging results with 94% and 99% of accuracy for COVIDx and enhanced COVID-19 dataset, respectively.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 16 of its 49 references that are in the map. First posted on arXiv 17 May 2021.

Builds on

16 of 49 references.

References · 16

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4 more
  1. 2020Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Imagescited by 13
  2. 2021A Novel CNN-LSTM-based Approach to Predict Urban Expansioncited by 13
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Cited by year

Citing papers per year: 2022: 1; 2023: 6; 2024: 1; 2025: 1.

9 papers.

  1. 2023TAU: A Framework for Video-Based Traffic Analytics Leveraging Artificial Intelligence and Unmanned Aerial Systemscited by 3
  2. 2022Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approachcited by 2
  3. 2023Unlocking the Potential of Medical Imaging with ChatGPT's Intelligent Diagnosticscited by 1
  4. 2024An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image Classificationcited by 1
  5. 2023Contactless Human Activity Recognition using Deep Learning with Flexible and Scalable Software Define Radiocited by 0
  6. 2023Interpretation of immunofluorescence slides by deep learning techniques: anti-nuclear antibodies case studycited by 0
  7. 2023Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learningcited by 0
  8. 2023Early Detection of Red Palm Weevil Infestations using Deep Learning Classification of Acoustic Signalscited by 0
  9. 2025Enhancing Early Alzheimer Disease Detection through Big Data and Ensemble Few-Shot Learningcited by 0