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.
Revue:
Fertility and Sterility

ISSN: 1556-5653 0015-0282

Année de publication: 2020

Volumen: 114

Número: 6

Pages: 1232-1241

Type: Article

DOI: 10.1016/J.FERTNSTERT.2020.08.023 GOOGLE SCHOLAR