XCR-Net: A Computer Aided Framework to Detect COVID-19
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Alvi, Ashik Mostafa 
ORCID: https://orcid.org/0000-0001-7898-2030, Khan, Md Jubaer ORCID: https://orcid.org/0000-0002-8916-230X, Manami, Nishat Tasnim ORCID: https://orcid.org/0000-0002-8980-5790, Miazi, Zubair Azim, Wang, Kate ORCID: https://orcid.org/0000-0001-5208-1090, Siuly, Siuly ORCID: https://orcid.org/0000-0003-2491-0546 and Wang, Hua ORCID: https://orcid.org/0000-0002-8465-0996
(2024)
XCR-Net: A Computer Aided Framework to Detect COVID-19.
IEEE Transactions on Consumer Electronics, 70 (4).
pp. 7551-7561.
ISSN 0098-3063
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/49333 |
| DOI | 10.1109/TCE.2024.3446793 |
| Official URL | https://ieeexplore.ieee.org/document/10646373 |
| Subjects | Current > FOR (2020) Classification > 4003 Biomedical engineering Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Download/View statistics | View download statistics for this item |
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