Detection of Lung Inflammation using Transfer Learning

Authors

  • Javed Akkalkot  Department of Computer Science, Secab Institute of Technology, Bijapur, Karnataka, India
  • Dr. S. A. Quadri  Professor, Department of Computer Science, Secab Institute of Technology, Bijapur, Karnataka, India

Keywords:

Covid19, Lung inflammation, Deep Learning, X-ray, CNN model, ResNet model.

Abstract

Covid19 is a destructive infection that has killed millions of people across the world. Elderly people and individuals with genuine fundamental ailments or past instances of pneumonia seem, by all accounts, to be at more danger of growing more genuine intricacies from the infection. Serious types of the infection can cause lung inflammation, prompting danger of death. The challenge here is to speed up the determination of the onset or the ongoing pneumonia infection.This paper proposes a Transfer learning based Deep Learning model for automated way of using X-ray imaging for early diagnosis of COVID19/pneumonia infection. We initially train the system using an 8-layer CNN model and a 13-layer CNN model and then compare it with ResNet model which is based on transfer learning for higher accuracy.

References

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Published

2021-08-26

Issue

Section

Research Articles

How to Cite

[1]
Javed Akkalkot, Dr. S. A. Quadri, " Detection of Lung Inflammation using Transfer Learning" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 5, pp.54-58, September-October-2021.