Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential
- Bori, L.
- Paya, E.
- Alegre, L.
- Viloria, T.A.
- Remohi, J.A.
- Naranjo, V.
- Meseguer, M.
ISSN: 1556-5653, 0015-0282
Datum der Publikation: 2020
Ausgabe: 114
Nummer: 6
Seiten: 1232-1241
Art: Artikel