COVID-19 lateral flow test image classification using deep CNN and StyleGAN2.

Journal: Frontiers in artificial intelligence
Published Date: Jan 29, 2024

Abstract

INTRODUCTION: Artificial intelligence (AI) in healthcare can enhance clinical workflows and diagnoses, particularly in large-scale operations like COVID-19 mass testing. This study presents a deep Convolutional Neural Network (CNN) model for automated COVID-19 RATD image classification.

Authors

  • Vishnu Pannipulath Venugopal
    School of Computing and Information Science, Anglia Ruskin University, Cambridge, United Kingdom.
  • Lakshmi Babu Saheer
    School of Computing and Information Science, Anglia Ruskin University, Cambridge, United Kingdom.
  • Mahdi Maktabdar Oghaz
    School of Computing and Information Science, Anglia Ruskin University, Cambridge, United Kingdom.

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