A method using artificial neural networks to morphologically assess mouse blastocyst quality

BACKGROUND: Morphologically classifying embryos is important for numerous laboratory techniques, which range from basic methods to methods for assisted reproduction. However, the standard method currently used for classification is subjective and depends on an embryologist’s prior training. Thus, ou...

Descripción completa

Detalles Bibliográficos
Autores principales: Matos, Felipe Delestro, Rocha, José Celso, Nogueira, Marcelo Fábio Gouveia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540264/
https://www.ncbi.nlm.nih.gov/pubmed/26290704
http://dx.doi.org/10.1186/2055-0391-56-15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540264/
https://www.ncbi.nlm.nih.gov/pubmed/26290704
http://dx.doi.org/10.1186/2055-0391-56-15

Ejemplares similares