基于MRI影像组学的BI-RADS 3-5类乳腺病变三分类
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韩冰,徐晶,王远军,王中领
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Classification of BI-RADS 3-5 Breast Lesions Based on MRI Radiomics
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HAN Bing,XU Jing,WANG Yuanjun,WANG Zhongling
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表9 基于各种特征的不同模型对乳腺病变良恶性的诊断效能
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Table 9 Diagnostic efficacy of different models based on various features for benign and malignant breast lesions
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特征 | 模型 | AUC | 准确率 | 灵敏度 | 特异度 | 平扫特征 | SVM | 0.889 | 80.65% | 66.67% | 86.67% | | RF | 0.934 | 83.87% | 66.67% | 90.91% | | KNN | 0.838 | 80.65% | 77.78% | 81.82% | | LR | 0.955 | 83.87% | 77.78% | 86.36% | 增强特征 | SVM | 0.927 | 85.45% | 92.31% | 83.33% | | RF | 0.960 | 89.09% | 84.62% | 90.48% | | KNN | 0.958 | 85.45% | 84.62% | 85.71% | | LR | 0.965 | 89.09% | 84.62% | 90.48% | 融合特征 | SVM | 0.973 | 90.91% | 78.57% | 95.19% | | RF | 0.958 | 93.55% | 90.00% | 95.24% | | KNN | 0.971 | 92.73% | 92.86% | 92.68% | | LR | 0.974 | 94.55% | 85.71% | 97.56% |
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