Glioma survival prediction with the combined analysis of in vivo 11C-MET-PET, ex vivo and patient features by supervised machine learning.
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Glioma survival prediction with the combined analysis of in vivo 11C-MET-PET, ex vivo and patient features by supervised machine learning.
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
@wuu
2017年学术文章
@zh
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
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name
Glioma survival prediction wit ...... y supervised machine learning.
@en
Glioma survival prediction wit ...... y supervised machine learning.
@nl
type
label
Glioma survival prediction wit ...... y supervised machine learning.
@en
Glioma survival prediction wit ...... y supervised machine learning.
@nl
prefLabel
Glioma survival prediction wit ...... y supervised machine learning.
@en
Glioma survival prediction wit ...... y supervised machine learning.
@nl
P2093
P50
P1476
Glioma Survival Prediction wit ...... by Supervised Machine Learning
@en
P2093
Marcus Hacker
Marko Grahovac
Matthias Preusser
Nina Pötsch
Thomas Beyer
Wolfgang Wadsak
P304
P356
10.2967/JNUMED.117.202267
P407
P577
2017-11-24T00:00:00Z