BriefGPT.xyz
Jun, 2022
建模纹理以预测脑瘤患者免疫细胞状态和生存情况
Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients
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Ahmad Chaddad, Mingli Zhang, Lama Hassan, Tamim Niazi
TL;DR
使用随机森林模型并结合深度辐射学特征(DRFs)和临床变量,我们可以显著地预测胶质瘤患者免疫标记物的状态和总体生存期,并推断这些特征可用于在手术前通过定期获取的成像数据进行脑肿瘤患者的预测。
Abstract
radiomics
has shown a capability for different types of cancers such as
glioma
to predict the clinical outcome. It can have a non-invasive means of evaluating the
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