Research progresses of radiomics and deep learning for predicting prognosis of hepatocellular carcinoma
10.13929/j.issn.1672-8475.2024.05.011
- VernacularTitle:影像组学及深度学习预测肝细胞癌预后研究进展
- Author:
Zhengxin DUAN
1
;
Wei ZHAO
;
Genfa YI
Author Information
1. 昆明医科大学第一附属医院医学影像科,云南 昆明 650032
- Keywords:
carcinoma,hepatocellular;
prognosis;
deep learning;
radiomics
- From:
Chinese Journal of Interventional Imaging and Therapy
2024;21(5):302-306
- CountryChina
- Language:Chinese
-
Abstract:
The prognosis of hepatocellular carcinoma(HCC)may be different in a great degree,and accurate predicting prognosis is helpful for carrying out individualized and precise treatment.With the developments of artificial intelligence,radiomics and deep learning(DL)were widely used,providing valuable information for diagnosis and treatment of HCC through mining higher dimensional quantitative features on medical images.The research progresses of radiomics and DL for predicting prognosis of HCC were reviewed in this article.