Myocardial Scar Segmentation in LGE-MRI Using Fractal Analysis and Random Forest Classification
2018 24th International Conference on Pattern Recognition (ICPR)（2018）
关键词
intraobserver variability,interobserver variability,feature extraction,global intensity,local intensity,clinical LGE-MRI data sets,mean Dice coefficient,gadolinium based contrast agent,myocardial scarring,clinical gold standard,late-gadolinium enhanced magnetic resonance imaging,random forest classification,myocardial scar segmentation,random forest classifier,feature vector,binary object,mean gray value,fractal dimension,two-threshold binary decomposition,binary images,segmentation based fractal analysis,texture characterization,texture based scar quantification,manual segmentation,clinical routine,treatment planning,scar tissue,LGE-MRI scan,damaged cells
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