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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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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2018
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| Matèries: | |
| Accés en línia: | 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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