A new deep‐learning model using YOLOv3 to support sperm selection during intracytoplasmic sperm injection procedure

Abstract Purpose To create and evaluate a machine‐learning model for YOLOv3 that can simultaneously perform morphological evaluation and tracking in a short time, which can be adapted to video data under an inverted microscope. Methods Japanese patients who underwent intracytoplasmic sperm injection...

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Autori principali:	Takuma Sato, Hiroshi Kishi, Saori Murakata, Yuki Hayashi, Toshiyuki Hattori, Shinji Nakazawa, Yusuke Mori, Miwa Hidaka, Yuta Kasahara, Atsuko Kusuhara, Kayo Hosoya, Hiroshi Hayashi, Aikou Okamoto
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2022-01-01
Serie:	Reproductive Medicine and Biology
Soggetti:	deep learning infertility intracytoplasmic sperm injection sperm morphology sperm motility
Accesso online:	https://doi.org/10.1002/rmb2.12454
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