Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma

BACKGROUND: The purpose/aim of this study was to 1) use magnetic resonance diffusion tensor imaging (DTI), fibre bundle/tract-based spatial statistics (TBSS) and machine learning methods to study changes in the white matter (WM) structure and whole brain WM network in different periods of the nasoph...

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Bibliografiske detaljer
Udgivet i:	Cancer Imaging
Main Authors:	Leng, Xi, Fang, Peng, Lin, Huan, Qin, Chunhong, Tan, Xin, Liang, Yi, Zhang, Chi, Wang, Hongzhuo, An, Jie, Wu, Donglin, Liu, Qihui, Qiu, Shijun
Format:	Artigo
Sprog:	Inglês
Udgivet:	BioMed Central 2019
Fag:	Research Article
Online adgang:	https://ncbi.nlm.nih.gov/pmc/articles/PMC6434635/ https://ncbi.nlm.nih.gov/pubmed/30909974 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40644-019-0203-y
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Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma

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