Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma | BMC Cancer | Full Text

Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma | BMC Cancer | Full Text

Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma

Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinoma (NPC) is clinically challenging, and prediction models of RTLI are lacking. Hence, we aimed to develop radiomic models ...

Authors:Bin Zhang, Zhouyang Lian, Liming Zhong, Xiao Zhang, Yuhao Dong, Qiuying Chen, Lu Zhang, Xiaokai Mo, Wenhui Huang, Wei Yang and Shuixing Zhang

Citation:BMC Cancer 2020 20:502

Content type:Research article

 

Published on: 1 June 2020

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