人工智能
接收机工作特性
特征选择
支持向量机
随机森林
模式识别(心理学)
磁共振成像
Lasso(编程语言)
参数统计
数学
特征(语言学)
医学
计算机科学
核医学
放射科
统计
万维网
哲学
语言学
作者
Dehua Wang,Hayder Jasim Taher,Murtadha Al-Fatlawi,Badr Ahmed Abdullah,Munojat Khayatovna Ismailova,Razzagh Abedi‐Firouzjah
摘要
This study assessed the myocardial infarction (MI) using a novel fusion approach (multi-flavored or tensor-based) of multi-parametric cardiac magnetic resonance imaging (CMRI) at four sequences; T1-weighted (T1W) in the axial plane, sense-balanced turbo field echo (sBTFE) in the axial plane, late gadolinium enhancement of heart short axis (LGE-SA) in the sagittal plane, and four-chamber views of LGE (LGE-4CH) in the axial plane.
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