Hu, X.; Zhou, J.; Li, Y.; Wang, Y.; Guo, J.; Sack, I.; Chen, W.; Yan, F.; Li, R.; Wang, C.
Added Value of Viscoelasticity for MRI-Based Prediction of Ki-67 Expression of Hepatocellular Carcinoma Using a Deep Learning Combined Radiomics (DLCR) Model. Cancers 2022, 14, 2575.
https://doi.org/10.3390/cancers14112575
AMA Style
Hu X, Zhou J, Li Y, Wang Y, Guo J, Sack I, Chen W, Yan F, Li R, Wang C.
Added Value of Viscoelasticity for MRI-Based Prediction of Ki-67 Expression of Hepatocellular Carcinoma Using a Deep Learning Combined Radiomics (DLCR) Model. Cancers. 2022; 14(11):2575.
https://doi.org/10.3390/cancers14112575
Chicago/Turabian Style
Hu, Xumei, Jiahao Zhou, Yan Li, Yikun Wang, Jing Guo, Ingolf Sack, Weibo Chen, Fuhua Yan, Ruokun Li, and Chengyan Wang.
2022. "Added Value of Viscoelasticity for MRI-Based Prediction of Ki-67 Expression of Hepatocellular Carcinoma Using a Deep Learning Combined Radiomics (DLCR) Model" Cancers 14, no. 11: 2575.
https://doi.org/10.3390/cancers14112575
APA Style
Hu, X., Zhou, J., Li, Y., Wang, Y., Guo, J., Sack, I., Chen, W., Yan, F., Li, R., & Wang, C.
(2022). Added Value of Viscoelasticity for MRI-Based Prediction of Ki-67 Expression of Hepatocellular Carcinoma Using a Deep Learning Combined Radiomics (DLCR) Model. Cancers, 14(11), 2575.
https://doi.org/10.3390/cancers14112575