A Study on Detection of COVID-19 in Lung CT Images Using Transfer Learning With Resnet Pre-Trained Model

Authors

  • R Rajeswari Associate Professor, Department of Computer Applications, Bharathiar University, Coimbatore, India Author

Keywords:

COVID-19 CT image classification, transfer learning, ResNet pre-trained model

Abstract

 COVID-19 has impacted the lives of each  and every person in the world. Diagnosis of COVID-19  using imaging systems can be integrated with the standard  Reverse Transcription Polymerase Chain Reaction (RT PCR) test to perform the diagnosis more accurately. In this  paper, transfer learning based method using a pre-trained  deep neural network model viz., ResNet is proposed to  classify COVID-19 computed tomography (CT) lung  images. The pre-trained model is fine-tuned in order to  make it learn the features specific to COVID-19 CT lung  images. The proposed method is compared with the  methods available in the literature. The results show that  the proposed method is comparable to the existing methods. 

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Published

2021-03-30

Issue

Vol. 9 No. 2 (2021): International Journal of Innovative Research in Computer Science and Technology (Mar) 2021

Section

Articles

How to Cite

A Study on Detection of COVID-19 in Lung CT Images Using Transfer Learning With Resnet Pre-Trained Model . (2021). International Journal of Innovative Research in Computer Science & Technology, 9(2), 28–34. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/11563