Wagner, S. J., Matek, C., Shetab Boushehri, S., Boxberg, M., Lamm, L., Sadafi, A., . . . Peng, T. (2022). Make deep learning algorithms in computational pathology more reproducible and reusable. Nature medicine, 28(9), 1744-1746. https://doi.org/10.1038/s41591-022-01905-0
Citácia podle Chicago (17th ed.)Wagner, Sophia J., Christian Matek, Sayedali Shetab Boushehri, Melanie Boxberg, Lorenz Lamm, Ario Sadafi, Dominik J. E. Waibel, Carsten Marr, a Tingying Peng. "Make Deep Learning Algorithms in Computational Pathology More Reproducible and Reusable." Nature Medicine 28, no. 9 (2022): 1744-1746. https://doi.org/10.1038/s41591-022-01905-0.
Citácia podľa MLA (8th ed.)Wagner, Sophia J., et al. "Make Deep Learning Algorithms in Computational Pathology More Reproducible and Reusable." Nature Medicine, vol. 28, no. 9, 2022, pp. 1744-1746, https://doi.org/10.1038/s41591-022-01905-0.