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Nuclear morphology is a deep learning biomarker of cellular..:
Heckenbach, Indra
;
Mkrtchyan, Garik V.
;
Ezra, Michael Ben
...
Nature Aging. 2 (2022) 8 - p. 742-755 , 2022
Link:
https://doi.org/10.1038/s43587-022-00263-3
RT Journal T1
Nuclear morphology is a deep learning biomarker of cellular senescence
UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s43587-022-00263-3&Exemplar=1&LAN=DE A1 Heckenbach, Indra A1 Mkrtchyan, Garik V. A1 Ezra, Michael Ben A1 Bakula, Daniela A1 Madsen, Jakob Sture A1 Nielsen, Malte Hasle A1 Oró, Denise A1 Osborne, Brenna A1 Covarrubias, Anthony J A1 Idda, M. Laura A1 Gorospe, Myriam A1 Mortensen, Laust A1 Verdin, Eric A1 Westendorp, Rudi A1 Scheibye-Knudsen, Morten PB Springer Science and Business Media LLC YR 2022 SN 2662-8465 JF Nature Aging VO 2 IS 8 SP 742 OP 755 LK http://dx.doi.org/https://doi.org/10.1038/s43587-022-00263-3 DO https://doi.org/10.1038/s43587-022-00263-3 SF ELIB - SuUB Bremen
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