段正新,赵卫,易根发.影像组学及深度学习预测肝细胞癌预后研究进展[J].中国介入影像与治疗学,2024,21(5):302-306
影像组学及深度学习预测肝细胞癌预后研究进展
Research progresses of radiomics and deep learning for predicting prognosis of hepatocellular carcinoma
投稿时间:2024-01-10  修订日期:2024-04-06
DOI:10.13929/j.issn.1672-8475.2024.05.011
中文关键词:  癌,肝细胞  预后  深度学习  影像组学
英文关键词:carcinoma, hepatocellular  prognosis  deep learning  radiomics
基金项目:
作者单位E-mail
段正新 昆明医科大学第一附属医院医学影像科, 云南 昆明 650032  
赵卫 昆明医科大学第一附属医院医学影像科, 云南 昆明 650032 kyyyzhaowei@foxmail.com 
易根发 昆明医科大学第一附属医院医学影像科, 云南 昆明 650032  
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中文摘要:
      肝细胞癌(HCC)预后差异较大,准确预测预后有助于展开个体化精准治疗。随着人工智能的发展,影像组学及深度学习(DL)运用日渐广泛,可通过挖掘医学图像中的高维度肿瘤定量特征而为诊断与治疗HCC提供更多信息。本文就影像组学及DL预测HCC预后研究进展进行综述。
英文摘要:
      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.
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