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Deep learning features from diffusion tensor imaging improv..:

Jing Yan ; Yuanshen Zhao ; Yinsheng Chen...
http://www.sciencedirect.com/science/article/pii/S2352396421003765. , 2021

Link: https://doi.org/10.1016/j.ebiom.2021.103583

RT Journal
T1 <Title>Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:9bc20e513a884ba6b3a3afd31dbcbee7&Exemplar=1&LAN=DE
				
A1 Jing Yan
A1 Yuanshen Zhao
A1 Yinsheng Chen
A1 Weiwei Wang
A1 Wenchao Duan
A1 Li Wang
A1 Shenghai Zhang
A1 Tianqing Ding
A1 Lei Liu
A1 Qiuchang Sun
A1 Dongling Pei
A1 Yunbo Zhan
A1 Haibiao Zhao
A1 Tao Sun
A1 Chen Sun
A1 Wenqing Wang
A1 Zhen Liu
A1 Xuanke Hong
A1 Xiangxiang Wang
A1 Yu Guo
A1 Wencai Li
A1 Jingliang Cheng
A1 Xianzhi Liu
A1 Xiaofei Lv
A1 Zhi-Cheng Li
A1 Zhenyu Zhang
PB Elsevier
YR 2021
K1 Glioma
K1 Deep learning
K1 Diffusion tensor imaging
K1 Prognosis
K1 Pathway
K1 Medicine
K1 R
K1 Medicine (General)
K1 R5-920
JF http://www.sciencedirect.com/science/article/pii/S2352396421003765
LK http://dx.doi.org/https://doi.org/10.1016/j.ebiom.2021.103583
DO https://doi.org/10.1016/j.ebiom.2021.103583
SF ELIB - SuUB Bremen

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