文件名称：matlabauc代码-radiogenomics:放射基因组学
文件大小：566KB
文件格式：ZIP
更新时间：2024-06-13 03:38:05
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Matlab的耳语放射基因组学 在线增刊，用于基于IDH野生型胶质母细胞瘤的基于扩散和灌注的MRI放射学和下一代测序预测核心信号通路 特征提取（Radiomics-Code-AMC-Anew） 用于特征提取的文件：Run_test.m 资料准备 1) All imaging data should be in Nifty type 2) Two imaging data are necessary: segmented mask (our example: reg_mni_ROI.nii) and base image (reg_mni_n4_ss_norm_reg_rs_T2.nii) 3) Above two imaging data needs to be co-registered before feature extraction 4) For CE-T1w/T1w/T2w/FLAIR image, the base image needs to be white-striped before feature extraction 5) Data structure: nee