A high‐speed unsupervised hardware architecture for rapid diagnosis of COVID‐19-Reference-Cited by-同舟云学术

A high‐speed unsupervised hardware architecture for rapid diagnosis of COVID‐19

Published:2022-08-30 Issue:1 Volume:51 Page:437-474
ISSN:0098-9886
Container-title:International Journal of Circuit Theory and Applications
language:en
Short-container-title:Circuit Theory & Apps

Author:

Ratnakumar Rahul¹^ORCID,Nanda Satyasai Jagannath²^ORCID

Affiliation:

1. Manipal Institute of Technology, Manipal Academy of Higher Education Manipal India

2. Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur Rajasthan India

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cta.3417

Reference50 articles.

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2. What can we learn from a COVID-19 lung biopsy?

3. DasD SamalC UkeyD ChowdharyG MohantySP.CoviLearn: A Machine Learning Integrated Smart X‐Ray Device in Healthcare Cyber‐Physical System for Automatic Initial Screening of COVID‐19. arXiv preprint arXiv:2106.05861;2021.

4. CoviChain: A Blockchain Based Framework for Nonrepudiable Contact Tracing in Healthcare Cyber-Physical Systems During Pandemic Outbreaks

5. COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings

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