A hybrid CNN–KNN approach for identification of COVID-19 with 5-fold cross validation-Reference-Cited by-同舟云学术

A hybrid CNN–KNN approach for identification of COVID-19 with 5-fold cross validation

Published:2023 Issue: Volume:4 Page:100229
ISSN:2666-3511
Container-title:Sensors International
language:en
Short-container-title:Sensors International

Author:

Sejuti Zarin Anjuman,Islam Md Saiful

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous),Electrical and Electronic Engineering,Electrochemistry,Chemistry (miscellaneous),Chemical Health and Safety,Bioengineering

Reference41 articles.

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3. COVID-19 detection in CT images with deep learning: a voting-based scheme and cross-datasets analysis;Silva;Inform. Med. Unlocked,2020

4. Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks;Narin;Pattern Anal. Appl.,2021

5. Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases;Ai;Radiology,2020

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