Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization

Visual morphology assessment is routinely used for evaluating of embryo quality and selecting human blastocysts for transfer after in vitro fertilization (IVF). However, the assessment produces different results between embryologists and as a result, the success rate of IVF remains low. To overcome...

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Dades bibliogràfiques
Publicat a:NPJ Digit Med
Autors principals: Khosravi, Pegah, Kazemi, Ehsan, Zhan, Qiansheng, Malmsten, Jonas E., Toschi, Marco, Zisimopoulos, Pantelis, Sigaras, Alexandros, Lavery, Stuart, Cooper, Lee A. D., Hickman, Cristina, Meseguer, Marcos, Rosenwaks, Zev, Elemento, Olivier, Zaninovic, Nikica, Hajirasouliha, Iman
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2019
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6550169/
https://ncbi.nlm.nih.gov/pubmed/31304368
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-019-0096-y
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