Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes - Durant, Thomas J S; Dudgeon, Sarah N; McPadden, Jacob; Simpson, Anisia; Price, Nathan; Schulz, Wade L; Torres, Richard; Olson, Eben M (Clinical chemistry (Baltimore, Md.), 2022)
Keywords: Artificial neural networks; Automation; Babesia; Babesiosis; Classification; Digital imaging; Erythrocytes; Health aspects; Humans; Image classification; Inspection; Learning algorithms; Machine learning; Microscopy; Microscopy - methods; Model testing; Neural networks; Neural Networks, Computer; Parasitemia; Parasitemia - diagnosis; Parasites; Peripheral blood; Physiological aspects; Smear; United States; peripheral blood smear; convolutional neural networks; babesia; machine learning; image analysis; erythrocyte