Deep learning radiomics based on contrast enhanced MRI for preoperatively predicting early recurrence in hepatocellular carcinoma after curative resection

Deep learning radiomics based on contrast enhanced MRI for preoperatively predicting early recurrence in hepatocellular carcinoma after curative resection

PurposeTo explore the role of deep learning (DL) and radiomics-based integrated approach based on contrast enhanced magnetic resonance imaging (CEMRI) for predicting early recurrence (ER) in hepatocellular carcinoma (HCC) patients after curative resection.MethodsTotal 165 HCC patients (ER, n = 96 vs...

Full description

Saved in:
Bibliographic Details
Main Authors: Ying Zhao, Sen Wang, Yue Wang, Jun Li, Jinghong Liu, Yuhui Liu, Haitong Ji, Wenhan Su, Qinhe Zhang, Qingwei Song, Yu Yao, Ailian Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Oncology
Subjects:
hepatocellular carcinoma
early recurrence
magnetic resonance imaging
deep learning
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1446386/full
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items