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. 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

Actions (login required)

View Item
View Item