医疗卫生装备2026，Vol.47Issue(4)：93-100,8.DOI:10.19745/j.1003-8868.2026063
基于影像学的深度学习在肝细胞癌微血管侵犯评估中的应用综述
Review of imaging-based deep learning applied in assessment of microvascular invasion in hepatocellular carcinoma
谢杏子 1翁东娜 1欧秋敏 1付丽媛 1肖慧1
作者信息
- 1. 福建医科大学福总临床医学院放射诊断科,福州 350025
- 折叠
摘要
Abstract
The basic principle of deep learning(DL)and its advantages when applied in medical field were introduced.The present situation of DL based on imaging technologies such as CT,MRI,ultrasonography and PET-CT was reviewed when used for assessing microvascular invasion in hepatocellular carcinoma.The challenges faced by the imaging-based DL were analyzed during the assessment of microvascular invasion in hepatocellular carcinoma,and the future development directions were pointed out.[Chinese Medical Equipment Journal,2026,47(4):93-100]关键词
深度学习/影像学/肝细胞癌/微血管侵犯/人工智能Key words
deep learning/imaging/hepatocellular carcinoma/microvascular invasion/artificial intelligence分类
医药卫生引用本文复制引用
谢杏子,翁东娜,欧秋敏,付丽媛,肖慧..基于影像学的深度学习在肝细胞癌微血管侵犯评估中的应用综述[J].医疗卫生装备,2026,47(4):93-100,8.
