Deep learning-based embryo assessment of static images can reduce the time to live birth inin vitrofertilization

Lu Yu, Kevin K W Lam, Ernest H Y Ng, William S B Yeung, Lequan Yu, Yin Lau Lee, Yuanhua Huang

2024 · doi:10.1101/2024.10.28.24316259

preprint OA: closed

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Cites (3)

The prospect of artificial intelligence to personalize assisted reproductive technology. 2024
Embryo selection through artificial intelligence versus embryologists: a systematic review. 2023
Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF. 2020

References (27)

Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF. via crossref
Embryo selection through artificial intelligence versus embryologists: a systematic review. via crossref
The prospect of artificial intelligence to personalize assisted reproductive technology. via crossref
doi:10.1016/j.fertnstert.2014.05.019 via crossref
doi:10.1016/j.fertnstert.2015.01.045 via crossref
doi:10.1093/humrep/dev339 via crossref
doi:10.1056/nejmoa1513873 via crossref
doi:10.1111/j.1471-0528.1993.tb15241.x via crossref
doi:10.1038/s41597-023-02182-3 via crossref
doi:10.1016/s0015-0282(00)00518-5 via crossref
doi:10.1016/j.rbmo.2021.11.003 via crossref
doi:10.1142/s2661318219500051 via crossref
doi:10.7554/elife.55301 via crossref
doi:10.1016/j.heliyon.2021.e06298 via crossref
doi:10.1038/s41746-019-0096-y via crossref
doi:10.1016/j.fertnstert.2021.11.022 via crossref
doi:10.7554/elife.83662 via crossref
doi:10.1186/s12884-021-04373-5 via crossref
doi:10.1007/s10815-021-02254-6 via crossref
doi:10.1093/humrep/det054 via crossref
doi:10.1016/j.rbmo.2022.07.018 via crossref
doi:10.1109/cvpr.2017.634 via crossref
doi:10.1093/humrep/dead254 via crossref
doi:10.1016/j.fertnstert.2016.04.022 via crossref
doi:10.1109/iccv.2017.74 via crossref
doi:10.1016/j.fertnstert.2011.05.050 via crossref
doi:10.1093/humrep/deu362 via crossref

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