APA (7th ed.) Citation

Sun, K., Shi, L., Qiu, J., Pan, Y., Wang, X., & Wang, H. (2022). Multi-phase contrast-enhanced magnetic resonance image-based radiomics-combined machine learning reveals microscopic ultra-early hepatocellular carcinoma lesions. European journal of nuclear medicine and molecular imaging, 49(8), 2917-2928. https://doi.org/10.1007/s00259-022-05742-8

Chicago Style (17th ed.) Citation

Sun, Kui, Liting Shi, Jianfeng Qiu, Yuteng Pan, Ximing Wang, and Haiyan Wang. "Multi-phase Contrast-enhanced Magnetic Resonance Image-based Radiomics-combined Machine Learning Reveals Microscopic Ultra-early Hepatocellular Carcinoma Lesions." European Journal of Nuclear Medicine and Molecular Imaging 49, no. 8 (2022): 2917-2928. https://doi.org/10.1007/s00259-022-05742-8.

MLA (9th ed.) Citation

Sun, Kui, et al. "Multi-phase Contrast-enhanced Magnetic Resonance Image-based Radiomics-combined Machine Learning Reveals Microscopic Ultra-early Hepatocellular Carcinoma Lesions." European Journal of Nuclear Medicine and Molecular Imaging, vol. 49, no. 8, 2022, pp. 2917-2928, https://doi.org/10.1007/s00259-022-05742-8.