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1 Ergebnisse
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Predicting clinically significant prostate cancer with a de..:
Zhao, Litao
;
Bao, Jie
;
Qiao, Xiaomeng
...
European Journal of Nuclear Medicine and Molecular Imaging. 50 (2022) 3 - p. 727-741 , 2022
Link:
https://doi.org/10.1007/s00259-022-06036-9
RT Journal T1 <Title>Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s00259-022-06036-9&Exemplar=1&LAN=DE A1 Zhao, Litao A1 Bao, Jie A1 Qiao, Xiaomeng A1 Jin, Pengfei A1 Ji, Yanting A1 Li, Zhenkai A1 Zhang, Ji A1 Su, Yueting A1 Ji, Libiao A1 Shen, Junkang A1 Zhang, Yueyue A1 Niu, Lei A1 Xie, Wanfang A1 Hu, Chunhong A1 Shen, Hailin A1 Wang, Ximing A1 Liu, Jiangang A1 Tian, Jie PB Springer Science and Business Media LLC YR 2022 SN 1619-7070 SN 1619-7089 JF European Journal of Nuclear Medicine and Molecular Imaging VO 50 IS 3 SP 727 OP 741 LK http://dx.doi.org/https://doi.org/10.1007/s00259-022-06036-9 DO https://doi.org/10.1007/s00259-022-06036-9 SF ELIB - SuUB Bremen
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