MRI radiomics based on deep learning automated segmentation to predict early recurrence of hepatocellular carcinoma.

Hong WeiTianying ZhengXiaolan ZhangYuanan WuYidi ChenChao ZhengDifei JiangBotong WuHua GuoHanyu JiangXijiao Liu

Published in: Insights into imaging (2024)

A hybrid model integrating MRI radiomic signature was constructed for early recurrence prediction of HCC. The hybrid model demonstrated superior 2-year AUC than the BCLC and CNLC systems. The model categorized the low-risk HCC group carried longer RFS.

Keyphrases

deep learning
contrast enhanced
magnetic resonance imaging
machine learning
artificial intelligence
computed tomography
squamous cell carcinoma
wastewater treatment
magnetic resonance