Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters.

MLA

Song, Danjun, et al. “Using Deep Learning to Predict Microvascular Invasion in Hepatocellular Carcinoma Based on Dynamic Contrast-Enhanced MRI Combined with Clinical Parameters.” Journal of Cancer Research & Clinical Oncology, vol. 147, no. 12, Dec. 2021, pp. 3757–67. EBSCOhost, https://doi.org/10.1007/s00432-021-03617-3.

APA

Song, D., Wang, Y., Wang, W., Wang, Y., Cai, J., Zhu, K., Lv, M., Gao, Q., Zhou, J., Fan, J., Rao, S., Wang, M., & Wang, X. (2021). Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters. Journal of Cancer Research & Clinical Oncology, 147(12), 3757–3767. https://doi.org/10.1007/s00432-021-03617-3

Chicago

Song, Danjun, Yueyue Wang, Wentao Wang, Yining Wang, Jiabin Cai, Kai Zhu, Minzhi Lv, et al. 2021. “Using Deep Learning to Predict Microvascular Invasion in Hepatocellular Carcinoma Based on Dynamic Contrast-Enhanced MRI Combined with Clinical Parameters.” Journal of Cancer Research & Clinical Oncology 147 (12): 3757–67. doi:10.1007/s00432-021-03617-3.