A preliminary study of sperm identification in microdissection testicular sperm extraction samples with deep convolutional neural networks

Sperm identification and selection is an essential task when processing human testicular samples for in vitro fertilization. Locating and identifying sperm cell(s) in human testicular biopsy samples is labor intensive and time consuming. We developed a new computer-aided sperm analysis (CASA) system...

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Detalles Bibliográficos
Autores principales: Wu, Daniel J, Badamjav, Odgerel, Reddy, Vikrant V, Eisenberg, Michael, Behr, Barry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991821/
https://www.ncbi.nlm.nih.gov/pubmed/33106465
http://dx.doi.org/10.4103/aja.aja_66_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991821/
https://www.ncbi.nlm.nih.gov/pubmed/33106465
http://dx.doi.org/10.4103/aja.aja_66_20

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