APA (7th ed.) Citation

Li, L., Liang, X., Yu, Y., Mao, R., Han, J., Peng, C., & Zhou, J. (2024). Radiomics-Based Machine Learning Classification Strategy for Characterization of Hepatocellular Carcinoma on Contrast-Enhanced Ultrasound in High-Risk Patients with LI-RADS Category M Nodules. Thieme Medical and Scientific Publishers Pvt. Ltd.

Chicago Style (17th ed.) Citation

Li, Lingling, Xiaoxin Liang, Yiwen Yu, Rushuang Mao, Jing Han, Chuan Peng, and Jianhua Zhou. Radiomics-Based Machine Learning Classification Strategy for Characterization of Hepatocellular Carcinoma on Contrast-Enhanced Ultrasound in High-Risk Patients with LI-RADS Category M Nodules. Thieme Medical and Scientific Publishers Pvt. Ltd, 2024.

MLA (9th ed.) Citation

Li, Lingling, et al. Radiomics-Based Machine Learning Classification Strategy for Characterization of Hepatocellular Carcinoma on Contrast-Enhanced Ultrasound in High-Risk Patients with LI-RADS Category M Nodules. Thieme Medical and Scientific Publishers Pvt. Ltd, 2024.