APA (7th ed.) Citation

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

Chicago Style (17th ed.) Citation

Wagner, Sophia J., Christian Matek, Sayedali Shetab Boushehri, Melanie Boxberg, Lorenz Lamm, Ario Sadafi, Dominik J. E. Waibel, Carsten Marr, and 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.

MLA (9th ed.) Citation

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.