无线电技术
多参数磁共振成像
医学
胶质瘤
多中心研究
病理
放射科
医学物理学
内科学
癌症
癌症研究
随机对照试验
前列腺癌
作者
Yunyang Zhu,Jing Wang,Chen Xue,Xiaoyang Zhai,Chaoyong Xiao,Ting Lu
标识
DOI:10.1016/j.acra.2024.09.021
摘要
Recent radiomics studies on predicting pathological outcomes of glioma have shown immense potential. However, the predictive ability remains suboptimal due to the tumor intrinsic heterogeneity. We aimed to achieve better pathological prediction outcomes by combining habitat analysis with deep learning.
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