A Fuzzy based CNN Method for Covid 19 Classification in Noisy Chest X-ray Images-Reference-Cited by-同舟云学术

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A Fuzzy based CNN Method for Covid 19 Classification in Noisy Chest X-ray Images

Published:2023-11-24 Issue: Volume:4 Page:1-8
ISSN:
Container-title:2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS)
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Author:

Mitra Ankita¹,Esakki Madura E²,Kiruba B³,Basker N.⁴,Grace N.Vini Antony⁵,Glory E⁶

Affiliation:

1. Dr. B. C. Roy Engineering College,Department of ECE,Durgapur,India

2. Bannari Amman Institute of Technology,Department of Artificial Intelligence and Data Science,Erode,India

3. Sri Krishna College of Engineering and Technology,Department of Artificial Intelligence and Data Science,Coimbatore,India

4. Sona College of Technology,Department of CSE,Salem,India

5. R.M.D. Engineering College,Department of ECE,Kavaraipettai,India

6. Saveetha School of Engineering,Department of Biosciences,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420831/10420858/10421194.pdf?arnumber=10421194

Reference34 articles.

1. COVID-19 chest X-ray image classification in the presence of noisy labels

2. Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient

3. Deep learning-based approach for detecting COVID-19 in chest X-rays

4. An efficient reactive routing security scheme based on RSA algorithm for preventing false data injection attack in WSN;Veena;International Journal of Computer Science and Telecommunications,2013

5. Hybrid classification structures for automatic COVID-19 detection

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