LUMIERE dataset - Pyradiomics features based on DeepBraTumIA segmentations

This CSV contains the radiomic features extracted for all study dates where all four MRI sequences and automated segmentation from DeepBraTumIA are available. The features were extracted from the images resampled to atlas space. Please note that features could not be extracted for studies where a given segmentation label was not found (or too small, see the minimum ROI size in the settings column). See our GitHub repository for a script to customize the extraction.

本CSV文件收录了所有满足以下条件的研究日期所提取的放射组学特征（radiomic features）：即同时具备全部四种磁共振成像（MRI）序列与DeepBraTumIA自动分割结果的研究数据。该特征集由重采样至脑图谱空间的图像提取所得。请注意，对于未找到对应分割标签（或分割区域过小，具体可参考设置列中载明的最小感兴趣区域（ROI，Region of Interest）尺寸）的研究，无法完成放射组学特征提取。如需定制特征提取脚本，可参阅我们的GitHub仓库。