APA (7th ed.) Citation

DW, D., A, L., S, T., M, M., A, S., WT, T., & FI, L. (2021). Analysis of tumor nuclear features using artificial intelligence to predict response to neoadjuvant chemotherapy in high-risk breast cancer patients. Breast cancer research and treatment, 186(2), 379. https://doi.org/10.1007/s10549-020-06093-4

Chicago Style (17th ed.) Citation

DW, Dodington, Lagree A, Tabbarah S, Mohebpour M, Sadeghi-Naini A, Tran WT, and Lu FI. "Analysis of Tumor Nuclear Features Using Artificial Intelligence to Predict Response to Neoadjuvant Chemotherapy in High-risk Breast Cancer Patients." Breast Cancer Research and Treatment 186, no. 2 (2021): 379. https://doi.org/10.1007/s10549-020-06093-4.

MLA (9th ed.) Citation

DW, Dodington, et al. "Analysis of Tumor Nuclear Features Using Artificial Intelligence to Predict Response to Neoadjuvant Chemotherapy in High-risk Breast Cancer Patients." Breast Cancer Research and Treatment, vol. 186, no. 2, 2021, p. 379, https://doi.org/10.1007/s10549-020-06093-4.