Cite
US-based Radiomics Analysis of Different Machine Learning Models for Differentiating Benign and Malignant BI-RADS 4A Breast Lesions.
MLA
Ye, Jieyi, et al. “US-Based Radiomics Analysis of Different Machine Learning Models for Differentiating Benign and Malignant BI-RADS 4A Breast Lesions.” Academic Radiology, vol. 32, no. 1, Jan. 2025, pp. 67–78. EBSCOhost, https://doi.org/10.1016/j.acra.2024.08.024.
APA
Ye, J., Chen, Y., Pan, J., Qiu, Y., Luo, Z., Xiong, Y., He, Y., Chen, Y., Xie, F., & Huang, W. (2025). US-based Radiomics Analysis of Different Machine Learning Models for Differentiating Benign and Malignant BI-RADS 4A Breast Lesions. Academic Radiology, 32(1), 67–78. https://doi.org/10.1016/j.acra.2024.08.024
Chicago
Ye, Jieyi, Yinting Chen, Jiawei Pan, Yide Qiu, Zhuoru Luo, Yue Xiong, Yanping He, Yingyu Chen, Fuqing Xie, and Weijun Huang. 2025. “US-Based Radiomics Analysis of Different Machine Learning Models for Differentiating Benign and Malignant BI-RADS 4A Breast Lesions.” Academic Radiology 32 (1): 67–78. doi:10.1016/j.acra.2024.08.024.