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

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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Bibliographic Details
Main Authors:	Daniel J Wu, Odgerel Badamjav, Vikrant V Reddy, Michael Eisenberg, Barry Behr
Format:	Article
Language:	English
Published:	Wolters Kluwer Medknow Publications 2021-01-01
Series:	Asian Journal of Andrology
Subjects:	artificial intelligence; computer vision; male infertility; microdissection testicular sperm extraction; sperm
Online Access:	http://www.ajandrology.com/article.asp?issn=1008-682X;year=2021;volume=23;issue=2;spage=135;epage=139;aulast=

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