Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S., Reina, G. A., . . . Bakas, S. (2022). Federated learning enables big data for rare cancer boundary detection. Nature Communications, 13(1), 1-17. https://doi.org/10.1038/s41467-022-33407-5
Chicago Style (17th ed.) CitationPati, Sarthak, et al. "Federated Learning Enables Big Data for Rare Cancer Boundary Detection." Nature Communications 13, no. 1 (2022): 1-17. https://doi.org/10.1038/s41467-022-33407-5.
MLA (8th ed.) CitationPati, Sarthak, et al. "Federated Learning Enables Big Data for Rare Cancer Boundary Detection." Nature Communications, vol. 13, no. 1, 2022, pp. 1-17, https://doi.org/10.1038/s41467-022-33407-5.
Warning: These citations may not always be 100% accurate.
Visit our Citation Styles guide for help on properly citing sources.
Visit our Citation Styles guide for help on properly citing sources.