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High-throughput ovarian follicle counting by an innovative deep learning approach

The evaluation of the number of mouse ovarian primordial follicles (PMF) can provide important information about ovarian function, regulation of folliculogenesis or the impact of chemotherapy on fertility. This counting, usually performed by specialized operators, is a tedious, time-consuming but in...

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Detalles Bibliográficos
Publicado en:Sci Rep
Main Authors: Sonigo, Charlotte, Jankowski, Stéphane, Yoo, Olivier, Trassard, Olivier, Bousquet, Nicolas, Grynberg, Michael, Beau, Isabelle, Binart, Nadine
Formato: Artigo
Idioma:Inglês
Publicado: Nature Publishing Group UK 2018
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6131397/
https://ncbi.nlm.nih.gov/pubmed/30202115
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-31883-8
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