Using convolutional neural networks to identify COVID-19 infection from Lymphocyte Morphology in Digital Optical Micrographs

Walker, Daniel; Ling, Richard; Banthorpe, Robert; Prahladan, Mahesh, P.; Caldwell, Nicholas

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, 31 (7). pp. 853-854. ISSN 1431-9276

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Official URL: https://doi.org/10.1093/mam/ozaf048.430

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:	25 Jan 2026 01:38
URI:	https://oars.uos.ac.uk/id/eprint/4833

Open Access Repository Suffolk (OARS)

Using convolutional neural networks to identify COVID-19 infection from Lymphocyte Morphology in Digital Optical Micrographs

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