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A comprehensive dataset of germinoma on MRI/CT with clinical and radiomic data

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/A_comprehensive_dataset_of_germinoma_on_MRI_CT_with_clinical_and_radiomic_data/28045148
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In total, 1688 different features were extracted for T2WI, FLAIR, T1WI, DWI, T1WI_CE, and CT respectively for each patient. This feature dataset included shape descriptors. The intensity features included simple first-order statistics and those derived from the gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), gray-level size-zone matrix (GLSZM,), neigh-boring gray-tone difference matrix (NGTDM), and gray-level dependence matrix (GLDM).

针对每位患者,分别针对T2加权成像(T2WI)、液体衰减反转恢复序列(FLAIR)、T1加权成像(T1WI)、弥散加权成像(DWI)、对比增强T1加权成像(T1WI_CE)以及计算机断层扫描(CT)提取了共计1688种不同特征。该特征数据集包含形态描述符。强度特征涵盖简单的一阶统计量,以及源自灰度共生矩阵(GLCM)、灰度游程长度矩阵(GLRLM)、灰度尺寸区域矩阵(GLSZM)、邻域灰度差分矩阵(NGTDM)和灰度依赖矩阵(GLDM)的特征。
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2025-02-22
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