Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes. | EBSCOhost

Connecting you to content on EBSCOhost

Title: Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes.
Authors: Durant, Thomas J. S.; Dudgeon, Sarah N.; McPadden, Jacob; Simpson, Anisia; Price, Nathan; Schulz, Wade L.; Torres, Richard; Olson, Eben M.
Publication: Clinical Chemistry, 2022, Vol 68, Issue 1, p218
ISSN: 0009-9147
Publication type: Academic Journal
DOI: 10.1093/clinchem/hvab237