摘要
心血管疾病是我国居民的首位死因,发病率呈上升趋势,随着心脏磁共振(CMR)扫描技术的迅速发展,将产生大量的影像数据,深度学习作为人工智能的一个分支发展迅猛,将深度学习的图像分割技术与心脏磁共振影像结合,将帮助提高影像科医生的诊断效率。文章对深度学习及其在磁共振左心室分割中的应用研究进行综述。
Incidence of cardiovascular disease(CVD) is the first cause of death of residents in our country,is on the rise,with the rapid development of cardiac magnetic resonance(CMR) CMR scanning technology,will produce large amounts of image data,the deep learning as a branch of artificial intelligence and rapid development,if the deep learning of image segmentation technology combined with cardiac magnetic resonance imaging,can assist clinicians in improving image analysis and interpretation.In this paper,deep learning are introduced and deep learning techniques in MRI left ventricular segmentation are reviewed.
作者
田洁
马晓海
赵蕾
Tian Jie;Ma Xiaohai;Zhao Lei(Department of Diagnostic and Interventional Radiology,Beijing Anzhen Hospital,Capital Medical University,Beijing Institute of Heart,Lung and Blood Vessel Diseases,Beijing 100029,China)
出处
《疑难病杂志》
CAS
2020年第1期92-95,104,共5页
Chinese Journal of Difficult and Complicated Cases
基金
国家自然科学基金(81671647、81771787)
北京市自然科学基金(7172069)~~
关键词
深度学习
人工智能
心脏磁共振
图像分割
Deep learning
Artificial inteligence
Cardiac magnetic resonance
Image segmentation
作者简介
通信作者:马晓海,E-mail:maxi8238@yahoo.com。
