APA (7th ed.) Citation

Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N. N., . . . Madabhushi, A. (2017). Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent. Scientific reports, 7(1), 46450. https://doi.org/10.1038/srep46450

Chicago Style (17th ed.) Citation

Cruz-Roa, Angel, Hannah Gilmore, Ajay Basavanhally, Michael Feldman, Shridar Ganesan, Natalie N.C Shih, John Tomaszewski, Fabio A. González, and Anant Madabhushi. "Accurate and Reproducible Invasive Breast Cancer Detection in Whole-slide Images: A Deep Learning Approach for Quantifying Tumor Extent." Scientific Reports 7, no. 1 (2017): 46450. https://doi.org/10.1038/srep46450.

MLA (9th ed.) Citation

Cruz-Roa, Angel, et al. "Accurate and Reproducible Invasive Breast Cancer Detection in Whole-slide Images: A Deep Learning Approach for Quantifying Tumor Extent." Scientific Reports, vol. 7, no. 1, 2017, p. 46450, https://doi.org/10.1038/srep46450.