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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	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
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2022-01-01
Schriftenreihe:	Reproductive Medicine and Biology
Schlagworte:	deep learning infertility intracytoplasmic sperm injection sperm morphology sperm motility
Online-Zugang:	https://doi.org/10.1002/rmb2.12454
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!