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Attention-based VGG-16 model for COVID-19 chest X-ray image classification

Sitaula, Chiranjibi and Hossain, Mohammad Belayet 2020, Attention-based VGG-16 model for COVID-19 chest X-ray image classification, Applied Intelligence, pp. 1-14, doi: 10.1007/s10489-020-02055-x.

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Title Attention-based VGG-16 model for COVID-19 chest X-ray image classification
Author(s) Sitaula, ChiranjibiORCID iD for Sitaula, Chiranjibi orcid.org/0000-0002-4564-2985
Hossain, Mohammad Belayet
Journal name Applied Intelligence
Start page 1
End page 14
Total pages 14
Publisher Springer
Place of publication New York, N.Y.
Publication date 2020
ISSN 0924-669X
1573-7497
Keyword(s) Chest x-rays
Classification
COVID-19
Deep learning
SARS-CoV2
Notes Article in Press
Language eng
DOI 10.1007/s10489-020-02055-x
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30145814

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Created: Thu, 26 Nov 2020, 09:37:58 EST

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.