APA (7th ed.) Citation

Liu, Z., Wu, Y., Khan, A. A., Lu, L., Wang, J., Chen, J., . . . Xu, X. (2024). Deep learning-based radiomics allows for a more accurate assessment of sarcopenia as a prognostic factor in hepatocellular carcinoma. Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology), 25(1), 83. https://doi.org/10.1631/jzus.B2300363

Chicago Style (17th ed.) Citation

Liu, Zhikun, Yichao Wu, Abid Ali Khan, Lun Lu, Jianguo Wang, Jun Chen, Ningyang Jia, Shusen Zheng, and Xiao Xu. "Deep Learning-based Radiomics Allows for a More Accurate Assessment of Sarcopenia as a Prognostic Factor in Hepatocellular Carcinoma." Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology) 25, no. 1 (2024): 83. https://doi.org/10.1631/jzus.B2300363.

MLA (9th ed.) Citation

Liu, Zhikun, et al. "Deep Learning-based Radiomics Allows for a More Accurate Assessment of Sarcopenia as a Prognostic Factor in Hepatocellular Carcinoma." Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology), vol. 25, no. 1, 2024, p. 83, https://doi.org/10.1631/jzus.B2300363.