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...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	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
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Wiley 2022-01-01
Reeks:	Reproductive Medicine and Biology
Onderwerpen:	deep learning infertility intracytoplasmic sperm injection sperm morphology sperm motility
Online toegang:	https://doi.org/10.1002/rmb2.12454
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!