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CometAnalyser: A user-friendly, open-source deep-learning m..:
Beleon, Attila
;
Pignatta, Sara
;
Arienti, Chiara
...
Computational and Structural Biotechnology Journal. 20 (2022) - p. 4122-4130 , 2022
Link:
https://doi.org/10.1016/j.csbj.2022.07.053
RT Journal T1 <Title>CometAnalyser: A user-friendly, open-source deep-learning microscopy tool for quantitative comet assay analysis</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.csbj.2022.07.053&Exemplar=1&LAN=DE A1 Beleon, Attila A1 Pignatta, Sara A1 Arienti, Chiara A1 Carbonaro, Antonella A1 Horvath, Peter A1 Martinelli, Giovanni A1 Castellani, Gastone A1 Tesei, Anna A1 Piccinini, Filippo PB Elsevier BV YR 2022 SN 2001-0370 JF Computational and Structural Biotechnology Journal VO 20 SP 4122 OP 4130 LK http://dx.doi.org/https://doi.org/10.1016/j.csbj.2022.07.053 DO https://doi.org/10.1016/j.csbj.2022.07.053 SF ELIB - SuUB Bremen
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