Detection of Covid-19 Using CT-Scan Images and Deep Transfer Learning

ABSTRACT

Several variants of the severe acute respiratory syndrome (SARS-Cov2) were identified globally in recent times. According to the survey conducted by World Health Organization (WHO) in the year 2021, there were four dominant variants of the virus, which were named alpha, beta, gamma, and delta, respectively. Radiological examinations such as CT scan and chest X-rays are considered to be effective clinical examinations that determine the presence of viruses in the human body. The study of these radiological examinations aids to prevent the spread of the virus and supports in treating the patients effectively. This paper aims to discuss various aspects of covid-19 and describes an automated system that uses the CT-scan images to diagnose covid-19. The proposed method uses deep learning technique along with SoftMax activation function and was found to be effective in determining the novel virus. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.