Accurate machine learning model for human embryo morphokinetic stage detection
The proposed model shows a 17% accuracy improvement, compared to the best models on the same dataset. Therefore, our model can accurately detect morphokinetic stages in static embryo images as well as detecting the exact timings of stage changes in a complete time-lapse video.
Authors
- Lynsey Cree (ORCID: https://orcid.org/0000-0003-2090-1589)
- Nicholas Knowlton (ORCID: https://orcid.org/0000-0002-7022-3352)
- Hooman Misaghi
Institutions
- University of Auckland (NZ)
- Massey University (NZ)
Publication Details
- Journal
- Journal of Assisted Reproduction and Genetics
- Published
- 2025-08-20
- DOI
- https://doi.org/10.1007/s10815-025-03585-4
- Citations
- 2
- Primary Topic
- Reproductive Biology and Fertility
- Type
- article
- Field-Weighted Citation Impact
- 3.76
Funders
- University of Auckland
- Ministry for Business Innovation and Employment