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Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis

Qayyum, A, Razzak, Muhammad Imran, Tanveer, M and Kumar, A 2021, Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis, Annals of Operations Research, pp. 1-21, doi: 10.1007/s10479-021-04154-5.

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Title Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis
Author(s) Qayyum, A
Razzak, Muhammad ImranORCID iD for Razzak, Muhammad Imran orcid.org/0000-0002-3930-6600
Tanveer, M
Kumar, A
Journal name Annals of Operations Research
Start page 1
End page 21
Total pages 21
Publisher Spinger
Place of publication Berlin, Germany
Publication date 2021-07-03
ISSN 0254-5330
1572-9338
Keyword(s) COVID19
Deep learning
Diagnosis
Management
Operations Research & Management Science
ROBUST
Science & Technology
SEGMENTATION
Technology
Notes In Press
Language eng
DOI 10.1007/s10479-021-04154-5
Indigenous content off
Field of Research 01 Mathematical Sciences
08 Information and Computing Sciences
15 Commerce, Management, Tourism and Services
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30153142

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Created: Tue, 06 Jul 2021, 15:05:11 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.