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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:NPJ Digit Med
Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2019
Assuntos:
Article
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados