Predicting the Initial Treatment Response to Transarterial Chemoembolization in Intermediate-Stage Hepatocellular Carcinoma by the Integration of Radiomics and Deep Learning

Predicting the Initial Treatment Response to Transarterial Chemoembolization in Intermediate-Stage Hepatocellular Carcinoma by the Integration of Radiomics and Deep Learning

ObjectivesWe aimed to develop radiology-based models for the preoperative prediction of the initial treatment response to transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC) since the integration of radiomics and deep learning (DL) has not been reported for TACE.Me...

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Bibliographic Details
Main Authors: Jie Peng, Jinhua Huang, Guijia Huang, Jing Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Oncology
Subjects:
hepatocellular carcinoma
machine learning
deep learning
treatment response
TACE
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.730282/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.730282/full

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