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-Zitierstil (17. Ausg.)Wagner, Sophia J., Christian Matek, Sayedali Shetab Boushehri, Melanie Boxberg, Lorenz Lamm, Ario Sadafi, Dominik J. E. Waibel, Carsten Marr, und 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-Zitierstil (9. Ausg.)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.