APA (7th ed.) Citation

Lee, J. Y., Lee, K., Seo, B. K., Cho, K. R., Woo, O. H., Song, S. E., . . . Cha, J. (2022). Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI. European radiology, 32(1), 650-660. https://doi.org/10.1007/s00330-021-08146-8

Chicago Style (17th ed.) Citation

Lee, Ji Young, et al. "Radiomic Machine Learning for Predicting Prognostic Biomarkers and Molecular Subtypes of Breast Cancer Using Tumor Heterogeneity and Angiogenesis Properties on MRI." European Radiology 32, no. 1 (2022): 650-660. https://doi.org/10.1007/s00330-021-08146-8.

MLA (9th ed.) Citation

Lee, Ji Young, et al. "Radiomic Machine Learning for Predicting Prognostic Biomarkers and Molecular Subtypes of Breast Cancer Using Tumor Heterogeneity and Angiogenesis Properties on MRI." European Radiology, vol. 32, no. 1, 2022, pp. 650-660, https://doi.org/10.1007/s00330-021-08146-8.