Predicting implantation by using dual AI system incorporating three-dimensional blastocyst image and conventional embryo evaluation parameters-A pilot study.

Miyagi Y, Habara T, Hirata R, Hayashi N

Open source

DOI: 10.1002/rmb2.12612
Published: 2024 Jan-Dec
Container: Reproductive medicine and biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/rmb2.12612,
  title = {Predicting implantation by using dual AI system incorporating three-dimensional blastocyst image and conventional embryo evaluation parameters-A pilot study.},
  author = {Miyagi Y and Habara T and Hirata R and Hayashi N},
  year = {2024},
  journal = {Reproductive medicine and biology},
  doi = {10.1002/rmb2.12612},
  url = {https://doi.org/10.1002/rmb2.12612}
}

RIS

TY  - JOUR
TI  - Predicting implantation by using dual AI system incorporating three-dimensional blastocyst image and conventional embryo evaluation parameters-A pilot study.
AU  - Miyagi Y
AU  - Habara T
AU  - Hirata R
AU  - Hayashi N
PY  - 2024
JO  - Reproductive medicine and biology
DO  - 10.1002/rmb2.12612
UR  - https://doi.org/10.1002/rmb2.12612
ER  -

APA

Y, M., T, H., R, H., & N, H. (2024). Predicting implantation by using dual AI system incorporating three-dimensional blastocyst image and conventional embryo evaluation parameters-A pilot study.. Reproductive medicine and biology. https://doi.org/10.1002/rmb2.12612

Source records

pubmed · retrieved 2026-09-25T07:31:03.909Z
europe-pmc · retrieved 2026-09-25T07:31:03.903Z
doaj · retrieved 2026-09-25T07:31:03.915Z