Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential

  1. Bori, L.
  2. Paya, E.
  3. Alegre, L.
  4. Viloria, T.A.
  5. Remohi, J.A.
  6. Naranjo, V.
  7. Meseguer, M.
Zeitschrift:
Fertility and Sterility

ISSN: 1556-5653 0015-0282

Datum der Publikation: 2020

Ausgabe: 114

Nummer: 6

Seiten: 1232-1241

Art: Artikel

DOI: 10.1016/J.FERTNSTERT.2020.08.023 GOOGLE SCHOLAR