Abstract

The COVID-19 pandemic has been a global health problem since December 2019. To date, the total number of confirmed cases, recoveries, and deaths has exponentially increased on a daily basis worldwide. In this paper, a hybrid deep learning approach is proposed to directly classify the COVID-19 disease from both chest X-ray (CXR) and CT images. Two AI-based deep learning models, namely ResNet50 and EfficientNetB0, are adopted and trained using both chest X-ray and CT images. The public datasets, consisting of 7863 and 2613 chest X-ray and CT images, are respectively used to deploy, train, and evaluate the proposed deep learning models. The deep learning model of EfficientNetB0 consistently performed a better classification result, achieving overall diagnosis accuracies of 99.36% and 99.23% using CXR and CT images, respectively. For the hybrid AI-based model, the overall classification accuracy of 99.58% is achieved. The proposed hybrid deep learning system seems to be trustworthy and reliable for assisting health care systems, patients, and physicians.

Highlights

  • Academic Editor: Frank WernerThe outbreak of COVID-19 is considered an epidemic and pandemic, affecting people around the world in a short period

  • COVID-19 is a novel coronavirus coined as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)

  • RT-PCR is useful for the diagnosis of disease, while computed tomography (CT) and chest X-ray (CXR) images are useful to assess the damage caused to the lungs due to Published: 29 September 2021

Read more

Summary

Introduction

The outbreak of COVID-19 is considered an epidemic and pandemic, affecting people around the world in a short period. It is rapidly transmitted among people in different local and global communities due to travel issues [1]. The confirmed biological symptoms of COVID19 are fever, shortness of breath, dizziness, cough, headache, sore throat, fatigue, and muscle pain. Due to its higher time consumption and lower sensitivity, medical imaging techniques such as computed tomography (CT) as well as Chest X-ray (Radiological Image) images are being used to fight and classify the COVID-19 respiratory disease [5,6,7]. The lungs are the major target of the COVID-19 virus. RT-PCR is useful for the diagnosis of disease, while CT and CXR images are useful to assess the damage caused to the lungs due to Published: 29 September 2021

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.