Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes.
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DOI: 10.1093/clinchem/hvab237
Abstract: BACKGROUND Clinical babesiosis is diagnosed, and parasite burden is determined, by microscopic inspection of a thick or thin Giemsa-stained peripheral blood smear. However, quantitative analysis by manual microscopy is subject to error. As such, methods… read more here.
Keywords: digital microscopy; microscopy; microscopy densely; applications digital ... See more keywords