COVID-19 Image Classification Using VGG-16 & CNN based on CT Scans

Authors

  • Shivasangaiah V Hiremath  PG Scholar, Computer Science & Engineering, Er. Perumal Manimekalai College of Engineering, Hosur, India
  • Mr. P. Yogananth  Assistant Professor, Computer Science & Engineering, Er. Perumal Manimekalai College of Engineering, Hosur, India

Keywords:

Visual Geometry Group-VGG16, Convolutional Neural Network-CNN, CT Images, X-Ray, rTPCR

Abstract

The main purpose of this work is to investigate and compare several deep learning enhanced techniques applied to CT-scan medical images for the detection of COVID-19. In this proposed work we are going to build two Covid19 Image classification models. Both the model uses Lungs CT Scan images to classify the covid-19. We build the first Classification model using VGG16 Transfer leaning framework and second model using Deep Learning Technique Convolutional Neural Network CNN to classify and diagnose the disease and we able to achieve the best accuracy in both the model.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-08-30

Issue

Volume 8, Issue 4, July-August-2022

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shivasangaiah V Hiremath, Mr. P. Yogananth, " COVID-19 Image Classification Using VGG-16 & CNN based on CT Scans" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 4, pp.218-224, July-August-2022.