Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning

Assessing the viability of a blastosyst is still empirical and non-reproducible nowadays. We developed an algorithm based on artificial vision and machine learning (and other classifiers) that predicts pregnancy using the beta human chorionic gonadotropin (b-hCG) test from both the morphology of an...

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Detalles Bibliográficos
Autores principales: Chavez-Badiola, Alejandro, Flores-Saiffe Farias, Adolfo, Mendizabal-Ruiz, Gerardo, Garcia-Sanchez, Rodolfo, Drakeley, Andrew J., Garcia-Sandoval, Juan Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064494/
https://www.ncbi.nlm.nih.gov/pubmed/32157183
http://dx.doi.org/10.1038/s41598-020-61357-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064494/
https://www.ncbi.nlm.nih.gov/pubmed/32157183
http://dx.doi.org/10.1038/s41598-020-61357-9

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