Domain-Adversarial Neural Networks for Robust Segmentation of the Left and Right Ventricle in Cardiac MR Images

用于心脏 MR 图像中左心室和右心室稳健分割的域对抗神经网络

• 批准号: 386633
• 负责人: Ng Matthew
• 金额: $ 1.27万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Studentship Programs
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-12-01 至 2018-12-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=386633&lang=en
• 关键词: Cardiac Magnetic Resonance Imaging; Cardiac Segmentation; Machine Learning

Cardiac magnetic resonance imaging is frequently used for the assessment of cardiac function. Segmentation of the left and right ventricles of the heart is required to calculate functional parameters and diagnose cardiovascular disease. Over the past year

心脏磁共振成像常用于评估心脏功能。心脏的左心室和右心室的分割需要计算功能参数和诊断心血管疾病。一年来