دورية أكاديمية

An interpretable machine learning model based on contrast-enhanced CT parameters for predicting treatment response to conventional transarterial chemoembolization in patients with hepatocellular carcinoma

التفاصيل البيبلوغرافية
العنوان: An interpretable machine learning model based on contrast-enhanced CT parameters for predicting treatment response to conventional transarterial chemoembolization in patients with hepatocellular carcinoma
المؤلفون: Zhang, Lu, Jin, Zhe, Li, Chen, He, Zicong, Zhang, Bin, Chen, Qiuying, You, Jingjing, Ma, Xiao, Shen, Hui, Wang, Fei, Wu, LingengAff2, IDs1154702401785z_cor11, Ma, CunwenAff3, IDs1154702401785z_cor12, Zhang, ShuixingAff1, IDs1154702401785z_cor13
المصدر: La radiologia medica: Official Journal of the Italian Society of Medical and Interventional Radiology. 129(3):353-367
قاعدة البيانات: Springer Nature Journals
الوصف
تدمد:18266983
DOI:10.1007/s11547-024-01785-z