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

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 at the...

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Detalles Bibliográficos
Autores principales: Sato, Takuma, Kishi, Hiroshi, Murakata, Saori, Hayashi, Yuki, Hattori, Toshiyuki, Nakazawa, Shinji, Mori, Yusuke, Hidaka, Miwa, Kasahara, Yuta, Kusuhara, Atsuko, Hosoya, Kayo, Hayashi, Hiroshi, Okamoto, Aikou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979154/
https://www.ncbi.nlm.nih.gov/pubmed/35414764
http://dx.doi.org/10.1002/rmb2.12454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979154/
https://www.ncbi.nlm.nih.gov/pubmed/35414764
http://dx.doi.org/10.1002/rmb2.12454

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