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Cited by in F6Publishing
For: Li W, Lv XZ, Zheng X, Ruan SM, Hu HT, Chen LD, Huang Y, Li X, Zhang CQ, Xie XY, Kuang M, Lu MD, Zhuang BW, Wang W. Machine Learning-Based Ultrasomics Improves the Diagnostic Performance in Differentiating Focal Nodular Hyperplasia and Atypical Hepatocellular Carcinoma. Front Oncol 2021;11:544979. [PMID: 33842303 DOI: 10.3389/fonc.2021.544979] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Liao M, Wang C, Zhang B, Jiang Q, Liu J, Liao J. Distinguishing Hepatocellular Carcinoma From Hepatic Inflammatory Pseudotumor Using a Nomogram Based on Contrast-Enhanced Ultrasound. Front Oncol 2021;11:737099. [PMID: 34692513 DOI: 10.3389/fonc.2021.737099] [Reference Citation Analysis]
2 Gao R, Qin H, Lin P, Ma C, Li C, Wen R, Huang J, Wan D, Wen D, Liang Y, Huang J, Li X, Wang X, Chen G, He Y, Yang H. Development and Validation of a Radiomic Nomogram for Predicting the Prognosis of Kidney Renal Clear Cell Carcinoma. Front Oncol 2021;11:613668. [PMID: 34295804 DOI: 10.3389/fonc.2021.613668] [Reference Citation Analysis]