Using convolutional neural networks to identify COVID-19 infection from Lymphocyte Morphology in Digital Optical Micrographs
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Walker, Daniel, Ling, Richard, Banthorpe, Robert, Prahladan, Mahesh, P. and Caldwell, Nicholas (2025) Using convolutional neural networks to identify COVID-19 infection from Lymphocyte Morphology in Digital Optical Micrographs. Microscopy & Microanalysis. ISSN 1431-9276 (In Press)
Full text not available from this repository.| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Lymphopenia, COVID-19, lymphoplasmacytic morphology, SARS-CoV-2 |
| Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) |
| Divisions: | Faculty of Arts, Business & Applied Social Science > School of Technology, Business & Arts |
| Depositing User: | David Upson-Dale |
| Date Deposited: | 30 Apr 2025 08:19 |
| Last Modified: | 30 Apr 2025 08:19 |
| URI: | https://oars.uos.ac.uk/id/eprint/4833 |
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