Prediction of Response of Hepatocellular Carcinoma to Radioembolization: Machine Learning using Preprocedural Clinical Factors and Magnetic Resonance Imaging Radiomics.

Journal of vascular and interventional radiology : JVIR(2022)

引用 3|浏览1
暂无评分
摘要
Based on clinical and imaging-based information prior to treatment, machine learning-based clinicoradiomics models demonstrated potential to predict response to TARE.
更多
查看译文
关键词
AUC,CE-T1,CT,EASL,GLCM,HCC,ICC,IQR,LGB,LoG,LR,MAA,MR,PET,RECIST,RF,SFS,SVM,TARE
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要