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A deep bayesian ensembling framework for COVID-19 detection using chest CT images

Tabarisaadi, P, Khosravi, Abbas and Nahavandi, Saeid 2020, A deep bayesian ensembling framework for COVID-19 detection using chest CT images, in SMC 2020 : Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Piscataway, N.J., pp. 1584-1589, doi: 10.1109/SMC42975.2020.9283003.

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Title A deep bayesian ensembling framework for COVID-19 detection using chest CT images
Author(s) Tabarisaadi, P
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name IEEE Systems, man, and cybernetics. International conference (2020 : Toronto, Canada)
Conference location Toronto, Canada
Conference dates 2020/10/11 - 2020/10/14
Title of proceedings SMC 2020 : Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics
Editor(s) [Unknown]
Publication date 2020
Start page 1584
End page 1589
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
ISBN 9781728185262
ISSN 2168-2216
2168-2232
Language eng
DOI 10.1109/SMC42975.2020.9283003
Indigenous content off
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147495

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.