心脏磁共振短轴电影成像影像组学鉴别肥厚型心肌病与健康对照
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刘启明, 卢启帆, 柴烨子, 姜萌, 卜军
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Short-axis cine cardiac magnetic resonance images-derived radiomics for hypertrophic cardiomyopathy and healthy control classification
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LIU Qiming, LU Qifan, CHAI Yezi, JIANG Meng, PU Jun
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表3 基于3D影像组学单一特征判别模型的测试集表现
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Tab 3 Performance of single 3D radiomic feature-based classification models in testing dataset
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Feature class and name | AUC (95%CI) |
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SVM | RF |
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GLDM: large dependence high gray level emphasis | 0.758 (0.520‒0.863) | 0.668 (0.486‒0.825) | First-order grayscale: kurtosis | 0.726 (0.517‒0.866) | 0.623 (0.445‒0.803) | First-order grayscale: entropy | 0.833 (0.695‒0.968) | 0.679 (0.435‒0.782) | GLSZM: zone entropy | 0.712 (0.365‒0.801) | 0.648 (0.449‒0.836) | GLCM: correlation | 0.707 (0.507‒0.857) | 0.667 (0.511‒0.845) | First-order grayscale: 90th percentile | 0.752 (0.544‒0.910) | 0.697 (0.446‒0.801) | Shape: major axis length | 0.673 (0.282‒0.735) | 0.554 (0.323‒0.677) | Shape: least axis length | 0.680 (0.318‒0.740) | 0.810 (0.625‒0.912) |
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