C-LVQ: A Convolutional Neural Network with Learning Vector Quantization for the Diagnosis of Covid-19-Reference-Cited by-同舟云学术

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C-LVQ: A Convolutional Neural Network with Learning Vector Quantization for the Diagnosis of Covid-19

Published:2023-12-14 Issue: Volume: Page:55-60
ISSN:
Container-title:2023 IEEE 20th India Council International Conference (INDICON)
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Author:

Gehlot Naveen¹,Vijayvargiya Ankit²,Kumar Rajesh¹,Garg Akhil Ranjan³,Desai Usha⁴

Affiliation:

1. Malaviya National Institute of Technology,Department of Electrical Engineering,Jaipur,Rajasthan

2. Swami Keshvanand Institute of Technology,Department of Electrical Engineering,Jaipur,Rajasthan

3. MBM University,Department of Electrical Engineering,Jodhpur,Rajasthan

4. S.E.A.College of Engineering & Technology,Department of Electronics and Communication Engineering,Bengaluru

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440722/10440669/10440796.pdf?arnumber=10440796

Reference23 articles.

1. C-COVIDNet: A CNN Model for COVID-19 Detection Using Image Processing

2. Dental journals and coronavirus disease (COVID-19): A current view

3. Real-time RT-PCR in COVID-19 detection: issues affecting the results

4. An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification

5. Dark Channel Processing for Medical Image Enhancement

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