Article Versions Notes

Wang Q, Li C, Chen G, Feng K, Chen Z, Xia F, Cai P, Zhang L, Sparrelid E, Brismar TB, et al. Unsupervised Machine Learning of MRI Radiomics Features Identifies Two Distinct Subgroups with Different Liver Function Reserve and Risks of Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma. Cancers. 2023; 15(12):3197. https://doi.org/10.3390/cancers15123197

Wang, Qiang, Changfeng Li, Geng Chen, Kai Feng, Zhiyu Chen, Feng Xia, Ping Cai, Leida Zhang, Ernesto Sparrelid, Torkel B. Brismar, and et al. 2023. "Unsupervised Machine Learning of MRI Radiomics Features Identifies Two Distinct Subgroups with Different Liver Function Reserve and Risks of Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma" Cancers 15, no. 12: 3197. https://doi.org/10.3390/cancers15123197

Wang, Q., Li, C., Chen, G., Feng, K., Chen, Z., Xia, F., Cai, P., Zhang, L., Sparrelid, E., Brismar, T. B., & Ma, K. (2023). Unsupervised Machine Learning of MRI Radiomics Features Identifies Two Distinct Subgroups with Different Liver Function Reserve and Risks of Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma. Cancers, 15(12), 3197. https://doi.org/10.3390/cancers15123197