COVID-19Net: An Effective and Robust Approach for Covid-19 Detection Using Ensemble of ConvNet-24 and Customized Pre-trained Models-Reference-Cited by-同舟云学术

COVID-19Net: An Effective and Robust Approach for Covid-19 Detection Using Ensemble of ConvNet-24 and Customized Pre-trained Models

Published:2023-12-11 Issue: Volume: Page:
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Elangovan Poonguzhali^ORCID,Vijayalakshmi D.^ORCID,Nath Malaya Kumar^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s00034-023-02564-3.pdf

Reference57 articles.

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2. A. Badawi, K. Elgazzar, Detecting coronavirus from x-rays using transfer learning. COVID 1(1), 403–415 (2021)

3. S. Balasubramaniam, K.S. Kumar, Optimal ensemble learning model for covid-19 detection using chest x-ray images. Biomed. Signal Process. Control 81(104392), 1–16 (2023)

4. S.A. Bustin, Absolute quantifcation of MRNA using realtime reverse transcription polymerase chain reaction assays. J. Mol. Endocrinol. 25(2), 169–193 (2000)

5. Coronavirus disease 2019 (COVID-19): situation report, vol 51 (World Health Organization, 2020), pp. 1–9

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