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
Autores principales: Sonigo, Charlotte, Jankowski, Stéphane, Yoo, Olivier, Trassard, Olivier, Bousquet, Nicolas, Grynberg, Michael, Beau, Isabelle, Binart, Nadine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131397/
https://www.ncbi.nlm.nih.gov/pubmed/30202115
http://dx.doi.org/10.1038/s41598-018-31883-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131397/
https://www.ncbi.nlm.nih.gov/pubmed/30202115
http://dx.doi.org/10.1038/s41598-018-31883-8

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