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On the robustness of machine learning algorithms toward mic..:
Ahmad, Ali
;
Sala, Federico
;
Paiè, Petra
...
Lab on a Chip. 22 (2022) 18 - p. 3453-3463 , 2022
Link:
https://doi.org/10.1039/d2lc00482h
RT Journal T1
On the robustness of machine learning algorithms toward microfluidic distortions for cell classification via on-chip fluorescence microscopy
UL https://suche.suub.uni-bremen.de/peid=cr-10.1039_d2lc00482h&Exemplar=1&LAN=DE A1 Ahmad, Ali A1 Sala, Federico A1 Paiè, Petra A1 Candeo, Alessia A1 D'Annunzio, Sarah A1 Zippo, Alessio A1 Frindel, Carole A1 Osellame, Roberto A1 Bragheri, Francesca A1 Bassi, Andrea A1 Rousseau, David PB Royal Society of Chemistry (RSC) YR 2022 SN 1473-0197 SN 1473-0189 JF Lab on a Chip VO 22 IS 18 SP 3453 OP 3463 LK http://dx.doi.org/https://doi.org/10.1039/d2lc00482h DO https://doi.org/10.1039/d2lc00482h SF ELIB - SuUB Bremen
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