A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw

The ability to understand whether embryos survive the thaw process is crucial to transferring competent embryos that can lead to pregnancy. The objective of this study was to develop a proof of concept deep learning model capable of assisting embryologist assessment of survival of thawed blastocysts...

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Detalles Bibliográficos
Autores principales: Marsh, P., Radif, D., Rajpurkar, P., Wang, Z., Hariton, E., Ribeiro, S., Simbulan, R., Kaing, A., Lin, W., Rajah, A., Rabara, F., Lungren, M., Demirci, U., Ng, A., Rosen, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729222/
https://www.ncbi.nlm.nih.gov/pubmed/36477633
http://dx.doi.org/10.1038/s41598-022-25062-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729222/
https://www.ncbi.nlm.nih.gov/pubmed/36477633
http://dx.doi.org/10.1038/s41598-022-25062-z

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