文章基本信息

标题：Voxel size and gray level normalization of CT radiomic features in lung cancer
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作者：Muhammad Shafiq-ul-Hassan ; Kujtim Latifi ; Geoffrey Zhang 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2018
卷号：8
期号：1
页码：10545
DOI：10.1038/s41598-018-28895-9
语种：English
出版社：Springer Nature
摘要：< 0.5) correlations with number of voxels before and after normalizations, respectively. Likewise, texture features were unstable (ICC < 0.6) and highly stable (ICC > 0.8) before and after GL normalizations, respectively. We conclude that voxel size and GL normalizations derived from a texture phantom study also apply to lung tumors. This study highlights the importance and utility of investigating the robustness of radiomic features with respect to CT imaging parameters in radiomic phantoms.