A, N., TH, B., J, P., JN, B., MN, M., TN, W., . . . A, G. (2022). Automating Pitted Red Blood Cell Counts Using Deep Neural Network Analysis: A New Method for Measuring Splenic Function in Sickle Cell Anaemia. Frontiers in physiology, 13, 859906. https://doi.org/10.3389/fphys.2022.859906
Chicago Style (17th ed.) CitationA, Nardo-Marino, Braunstein TH, Petersen J, Brewin JN, Mottelson MN, Williams TN, Kurtzhals JAL, Rees DC, and Glenthøj A. "Automating Pitted Red Blood Cell Counts Using Deep Neural Network Analysis: A New Method for Measuring Splenic Function in Sickle Cell Anaemia." Frontiers in Physiology 13 (2022): 859906. https://doi.org/10.3389/fphys.2022.859906.
MLA (9th ed.) CitationA, Nardo-Marino, et al. "Automating Pitted Red Blood Cell Counts Using Deep Neural Network Analysis: A New Method for Measuring Splenic Function in Sickle Cell Anaemia." Frontiers in Physiology, vol. 13, 2022, p. 859906, https://doi.org/10.3389/fphys.2022.859906.