Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma.

Cheng ZhangLi-di MaXiao-Lan ZhangCai LeiSha-Sha YuanJian-Peng LiZhi-Jun GengXin-Ming LiXian-Yue QuanChao ZhengYa-Yuan GengJie ZhangQiao-Li ZhengJing HouShu-Yi XieLiang-He LuChuan-Miao Xie

Published in: Journal of magnetic resonance imaging : JMRI (2023)

3 TECHNICAL EFFICACY: Stage 3.

Keyphrases

free survival
magnetic resonance
deep learning
squamous cell carcinoma
small cell lung cancer
artificial intelligence
convolutional neural network
contrast enhanced
machine learning