Automatic prediction of hepatic arterial infusion chemotherapy response in advanced hepatocellular carcinoma with deep learning radiomic nomogram.

Ziming Xu,Chao An,Feng Shi,He Ren,Yuze Li,Song Chen,Jiaqi Dou,Yajie Wang,Shaozhen Yan,Jie Lu,Huijun Chen

European radiology（2023）

引用 0|浏览3

暂无评分

摘要

• Deep learning radiomic nomogram (DLRN) based on automatic segmentation of CECT can accurately predict hepatic arterial infusion chemotherapy (HAIC) response of advanced HCC patients. • The proposed prediction model can perform survival risk stratification and is an easy-to-use tool for personalized pre-treatment decision-making for advanced HCC patients.

查看译文

关键词

Decision-making,Deep learning,FOLFOX protocol,Hepatocellular carcinoma

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