摘要
影像组学能够从影像大数据中挖掘潜在的信息以利于实现精准医疗。基于影像组学的人工智能(AI)技术能实现计算机模拟人类思维,代替人工高效地进行数据挖掘。医学影像学的AI技术能有效辅助放射科医生对脑胶质瘤的MR影像诊断。综述基于影像组学的AI技术在脑胶质瘤的分级诊断、鉴别诊断、预后评估等方面的应用研究。
Radiomics is a kind of technology able to mine enormous quantity of information in medical images and help to achieve precise medicine. Artificial intelligence(AI), based on radiomics, can realize more efficient data mining by simulating human thinking. Radiology AI technology could assist radiologists in diagnosis of MR imaging of glioma effectively. This article reviews the research of AI application based on radiomics in grading, differential diagnosis and prognosis assessment of intracranial glioma.
作者
李惠明
张军
LI Huiming;ZHANG Jun(Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China)
出处
《国际医学放射学杂志》
北大核心
2019年第5期531-534,546,共5页
International Journal of Medical Radiology
基金
上海市科委基金(16QA1400900,17411953700)
上海市卫生系统百人计划(2017BR003)
关键词
人工智能
算法
影像组学
胶质瘤
磁共振成像
Artificial intelligence
Algorithms
Radiomics
Glioma
Magnetic resonance imaging
