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1 Ergebnisse
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nucleAIzer: A Parameter-free Deep Learning Framework for Nu..:
Hollandi, Reka
;
Szkalisity, Abel
;
Toth, Timea
...
Cell Systems. 10 (2020) 5 - p. 453-458.e6 , 2020
Link:
https://doi.org/10.1016/j.cels.2020.04.003
RT Journal T1
nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.cels.2020.04.003&Exemplar=1&LAN=DE A1 Hollandi, Reka A1 Szkalisity, Abel A1 Toth, Timea A1 Tasnadi, Ervin A1 Molnar, Csaba A1 Mathe, Botond A1 Grexa, Istvan A1 Molnar, Jozsef A1 Balind, Arpad A1 Gorbe, Mate A1 Kovacs, Maria A1 Migh, Ede A1 Goodman, Allen A1 Balassa, Tamas A1 Koos, Krisztian A1 Wang, Wenyu A1 Caicedo, Juan Carlos A1 Bara, Norbert A1 Kovacs, Ferenc A1 Paavolainen, Lassi A1 Danka, Tivadar A1 Kriston, Andras A1 Carpenter, Anne Elizabeth A1 Smith, Kevin A1 Horvath, Peter PB Elsevier BV YR 2020 SN 2405-4712 JF Cell Systems VO 10 IS 5 SP 453 OP 458.e6 LK http://dx.doi.org/https://doi.org/10.1016/j.cels.2020.04.003 DO https://doi.org/10.1016/j.cels.2020.04.003 SF ELIB - SuUB Bremen
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