APA (7th ed.) Citation

T, H., X, J., Q, Z., & M, W. (2026). Ultrasound and Clinicopathological Features-Based Machine Learning Model for Predicting Neoadjuvant Therapy Efficacy in Breast Cancer. Cancer reports (Hoboken, N.J.), 9(6), e70600. https://doi.org/10.1002/cnr2.70600

Chicago Style (17th ed.) Citation

T, Hao, Ji X, Zhao Q, and Wei M. "Ultrasound and Clinicopathological Features-Based Machine Learning Model for Predicting Neoadjuvant Therapy Efficacy in Breast Cancer." Cancer Reports (Hoboken, N.J.) 9, no. 6 (2026): e70600. https://doi.org/10.1002/cnr2.70600.

MLA (9th ed.) Citation

T, Hao, et al. "Ultrasound and Clinicopathological Features-Based Machine Learning Model for Predicting Neoadjuvant Therapy Efficacy in Breast Cancer." Cancer Reports (Hoboken, N.J.), vol. 9, no. 6, 2026, p. e70600, https://doi.org/10.1002/cnr2.70600.