#37 : Improved Pregnancy Prediction Performance in an Updated Deep-Learning-Based Embryo Selection Model: A Retrospective Independent Validation Study Using 3,960 Single Blastocyst Transfer Cycles
Background and Aims: Generally, the performance of deep learning models is improved by increasing the size of the training dataset. However, to the best of our knowledge, there has been no study on the effect of increasing training data on the performance of pregnancy prediction using the same deep-...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
World Scientific Publishing
2023-12-01
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| Series: | Fertility & Reproduction |
| Online Access: | https://www.worldscientific.com/doi/10.1142/S2661318223742315 |