Zurac, S.; Mogodici, C.; Poncu, T.; Trăscău, M.; Popp, C.; Nichita, L.; Cioplea, M.; Ceachi, B.; Sticlaru, L.; Cioroianu, A.;
et al. A New Artificial Intelligence-Based Method for Identifying Mycobacterium Tuberculosis in Ziehl–Neelsen Stain on Tissue. Diagnostics 2022, 12, 1484.
https://doi.org/10.3390/diagnostics12061484
AMA Style
Zurac S, Mogodici C, Poncu T, Trăscău M, Popp C, Nichita L, Cioplea M, Ceachi B, Sticlaru L, Cioroianu A,
et al. A New Artificial Intelligence-Based Method for Identifying Mycobacterium Tuberculosis in Ziehl–Neelsen Stain on Tissue. Diagnostics. 2022; 12(6):1484.
https://doi.org/10.3390/diagnostics12061484
Chicago/Turabian Style
Zurac, Sabina, Cristian Mogodici, Teodor Poncu, Mihai Trăscău, Cristiana Popp, Luciana Nichita, Mirela Cioplea, Bogdan Ceachi, Liana Sticlaru, Alexandra Cioroianu,
and et al. 2022. "A New Artificial Intelligence-Based Method for Identifying Mycobacterium Tuberculosis in Ziehl–Neelsen Stain on Tissue" Diagnostics 12, no. 6: 1484.
https://doi.org/10.3390/diagnostics12061484
APA Style
Zurac, S., Mogodici, C., Poncu, T., Trăscău, M., Popp, C., Nichita, L., Cioplea, M., Ceachi, B., Sticlaru, L., Cioroianu, A., Busca, M., Stefan, O., Tudor, I., Voicu, A., Stanescu, D., Mustatea, P., Dumitru, C., & Bastian, A.
(2022). A New Artificial Intelligence-Based Method for Identifying Mycobacterium Tuberculosis in Ziehl–Neelsen Stain on Tissue. Diagnostics, 12(6), 1484.
https://doi.org/10.3390/diagnostics12061484