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New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis

Sitaula, Chiranjibi and Aryal, Sunil 2021, New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis, Health information science and systems, vol. 9, no. 1, pp. 1-12, doi: 10.1007/s13755-021-00152-w.

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Title New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis
Author(s) Sitaula, ChiranjibiORCID iD for Sitaula, Chiranjibi orcid.org/0000-0002-4564-2985
Aryal, SunilORCID iD for Aryal, Sunil orcid.org/0000-0002-6639-6824
Journal name Health information science and systems
Volume number 9
Issue number 1
Article ID 24
Start page 1
End page 12
Total pages 12
Publisher Springer
Place of publication Cham, Switzerland
Publication date 2021-12
ISSN 2047-2501
2047-2501
Keyword(s) Bag of deep visual words (BoDVW)
Bag of visual words (BoVW)
Chest X-ray
COVID-19
Deep features
SARS-CoV-2
Language eng
DOI 10.1007/s13755-021-00152-w
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Grant ID US Air Force Office of Scientific Research and Office of Naval Research under award number FA2386-20-1-4005
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30152681

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Created: Mon, 21 Jun 2021, 12:43:40 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.