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

Rajeswari R

doi:10.21276/ijircst.2021.9.2.5

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.

Keywords

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

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Cites this article as

R. R. "A Study on Detection of COVID-19 in Lung CT Images Using Transfer Learning With Resnet Pre-Trained Model", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-9, Issue-2, Page No-28-34, 2021. Available from: https://doi.org/10.21276/ijircst.2021.9.2.5

Corresponding Author

Rajeswari R

Associate Professor, Department of Computer Applications, Bharathiar University, Coimbatore, India (email: rajeswarilenin2711@gmail.com)

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