A Study on Detection of COVID-19 in Lung CT Images Using Transfer Learning With 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.

Authors and Affiliations

Rajeswari R

Keywords

Related Articles

Enhanced Counterfeit Detection of Bangladesh Currency through Convolutional Neural Networks: A Deep Learning Approach

Counterfeiting poses a significant threat to the stability of Bangladesh's currency, the Taka, necessitating advanced methods for detection and prevention. This paper presents an innovative approach to counterfeit detect...

A Design of Novel Method for Classification of Waste Materials with its location using Deep Learning and Computer Vision for Smart Cities

Waste management is the one of the main problems in all over the globe, presently waste materials are collected and sorted by hand, it is very time consuming and it also requires so much man power. Improper management of...

A Study on High Performance Split Radix FFT

A high performance hardware FFT have numerous application in instrumentation and communication systems. It describes new parallel FFT architecture which combines the split-radix algorithm with a constant geometry interco...

Improvement the Soil Subgrade using Sisal Fiber and Bagasse Ash

The effects of addition of Bagasse ash and Sisal Fibers in soil on MDD and OMC relationship different percentages of bagasse ash is added and optimized. Then this optimized bagasse ash soil is the mixed with the differen...

Study of Hardened Properties of Rubcrete Incorporated with SCMs (SF, FA, RHA): A Sustainable Approach

This research focuses on the production of concrete with the possible use of agricultural and industrial wastes in combined form as a replacement to OPC along with the use of waste rubber tire granules as coarse aggregat...

Download PDF file
  • EP ID EP747535
  • DOI 10.21276/ijircst.2021.9.2.5
  • Views 58
  • Downloads 0

How To Cite

Rajeswari R (2021). 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, 9(2), -. https://europub.co.uk/articles/-A-747535