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

[thumbnail of Using Convolutional Neural Networks to Identify COVID-19---.pdf] Text
Using Convolutional Neural Networks to Identify COVID-19---.pdf - Accepted Version
Restricted to Repository staff only until 25 January 2026.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (188kB)
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: 31 Jul 2025 09:46
URI: https://oars.uos.ac.uk/id/eprint/4833

Actions (login required)

View Item
View Item