Performance Enhancement of Covid-19 Chest X-Ray Image Classification Using GAN and CNN

Author:

Panday Sanjeeb Prasad1ORCID,Dumre Mani Prasad2ORCID,Shakya Aman1ORCID,Joshi Basanta1ORCID

Affiliation:

1. Department of Electronics and Computer Engineering, Pulchowk Campus, IOE, Pulchowk Campus, Nepal

2. Wireline and Customer Service Directorate, Nepal Telecom, Nepal

Publisher

ACM

Reference9 articles.

1. P. M. Shah, H. Ullah, R. Ullah, D. Shah, Y. Wang, S. u. Islam, A. Gani and J. J. P. C. Rodrigues, "DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection," Expert Systems 2022, no. 39, 2021.

2. An Improved COVID-19 Detection using GAN-Based Data Augmentation and Novel QuNet-Based Classification

3. S. Motamed, P. Rogalla and F. Khalvati, "Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images," Informatics in Medicine Unlocked, no. 100779, 2021.

4. Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning;Jaiswal A.;J. Biomol. Struct. Dyn.,2020

5. E-DiCoNet: Extreme learning machine based classifier for diagnosis of COVID-19 using deep convolutional network;Murugan R.;J. Ambient. Intell. Humaniz. Comput.,2021

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