A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI

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作者： Yin, Ping ^[1] ; Mao, Ning ^[2] ; Zhao, Chao ; Wu, Jiangfen ; Chen, Lei ; Hong, Nan

作者单位： GE Healthcare, Shanghai, Peoples R China ^[1] Peking Univ, Peoples Hosp, Dept Radiol, 11 Xizhimen Nandajie, Beijing 100044, Peoples R China ^[2]

关键词 radiomics sacrum LAVA-Flex least absolute shrinkage selection operator random forest machine-learning

发布时间 2019-09-17

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Journal of magnetic resonance imaging

2019年49卷3期

752-759页

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A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI

Journal of magnetic resonance imaging

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Journal of magnetic resonance imaging

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A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI

Journal of magnetic resonance imaging

相似文献

Journal of magnetic resonance imaging

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