Development of an automated two pronuclei detection system on time‐lapse embryo images using deep learning techniques

PURPOSE: To establish an automated pronuclei determination system by analysis using deep learning technology which is able to effectively learn with limited amount of supervised data. METHODS: An algorithm was developed by explicitly incorporating human observation where the outline around pronuclei...

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Detalles Bibliográficos
Autores principales: Fukunaga, Noritaka, Sanami, Sho, Kitasaka, Hiroya, Tsuzuki, Yuji, Watanabe, Hiroyuki, Kida, Yuta, Takeda, Seiji, Asada, Yoshimasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360969/
https://www.ncbi.nlm.nih.gov/pubmed/32684828
http://dx.doi.org/10.1002/rmb2.12331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360969/
https://www.ncbi.nlm.nih.gov/pubmed/32684828
http://dx.doi.org/10.1002/rmb2.12331

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