Using deep learning to predict the outcome of live birth from more than 10,000 embryo data
Abstract Background Recently, the combination of deep learning and time-lapse imaging provides an objective, standard and scientific solution for embryo selection. However, the reported studies were based on blastocyst formation or clinical pregnancy as the end point. To the best of our knowledge, t...
| 出版年: | BMC Pregnancy and Childbirth |
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| 主要な著者: | , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
BMC
2022-01-01
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s12884-021-04373-5 |