Rodellar, J.; Barrera, K.; Alférez, S.; Boldú, L.; Laguna, J.; Molina, A.; Merino, A.
A Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection. Bioengineering 2022, 9, 229.
https://doi.org/10.3390/bioengineering9050229
AMA Style
Rodellar J, Barrera K, Alférez S, Boldú L, Laguna J, Molina A, Merino A.
A Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection. Bioengineering. 2022; 9(5):229.
https://doi.org/10.3390/bioengineering9050229
Chicago/Turabian Style
Rodellar, José, Kevin Barrera, Santiago Alférez, Laura Boldú, Javier Laguna, Angel Molina, and Anna Merino.
2022. "A Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection" Bioengineering 9, no. 5: 229.
https://doi.org/10.3390/bioengineering9050229
APA Style
Rodellar, J., Barrera, K., Alférez, S., Boldú, L., Laguna, J., Molina, A., & Merino, A.
(2022). A Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection. Bioengineering, 9(5), 229.
https://doi.org/10.3390/bioengineering9050229