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1 Ergebnisse
1
A clinically applicable deep-learning model for detecting i..:
Zhao Shi
;
Chongchang Miao
;
U. Joseph Schoepf
...
https://doi.org/10.1038/s41467-020-19527-w. , 2020
Link:
https://doi.org/10.1038/s41467-020-19527-w
RT Journal T1
A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:5ecb0208268e4d118fe4dd3dd8db1b14&Exemplar=1&LAN=DE A1 Zhao Shi A1 Chongchang Miao A1 U. Joseph Schoepf A1 Rock H. Savage A1 Danielle M. Dargis A1 Chengwei Pan A1 Xue Chai A1 Xiu Li Li A1 Shuang Xia A1 Xin Zhang A1 Yan Gu A1 Yonggang Zhang A1 Bin Hu A1 Wenda Xu A1 Changsheng Zhou A1 Song Luo A1 Hao Wang A1 Li Mao A1 Kongming Liang A1 Lili Wen A1 Longjiang Zhou A1 Yizhou Yu A1 Guang Ming Lu A1 Long Jiang Zhang PB Nature Portfolio YR 2020 K1 Science K1 Q JF https://doi.org/10.1038/s41467-020-19527-w LK http://dx.doi.org/https://doi.org/10.1038/s41467-020-19527-w DO https://doi.org/10.1038/s41467-020-19527-w SF ELIB - SuUB Bremen
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