Sperm motility assessed by deep convolutional neural networks into WHO categories

Semen analysis is central in infertility investigation. Manual assessment of sperm motility according to the WHO recommendations is the golden standard, and extensive training is a requirement for accurate and reproducible results. Deep convolutional neural networks (DCNN) are especially suitable fo...

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Detalles Bibliográficos
Autores principales: Haugen, Trine B., Witczak, Oliwia, Hicks, Steven A., Björndahl, Lars, Andersen, Jorunn M., Riegler, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484948/
https://www.ncbi.nlm.nih.gov/pubmed/37679484
http://dx.doi.org/10.1038/s41598-023-41871-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484948/
https://www.ncbi.nlm.nih.gov/pubmed/37679484
http://dx.doi.org/10.1038/s41598-023-41871-2

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