Article

Deep learning-based embryo assessment of static images can reduce the time to live birth in<i>in vitro</i>fertilization

2024-10-29

Abstract excerpt

The low success rate in in vitro fertilization (IVF) may be related to our inability to select embryos with good implantation potential by traditional morphology grading and remains a great challenge to clinical practice. Multiple deep learning-based methods have been introduced to improve embryo selection. However, existing methods only achieve limited prediction power and generally ignore the repeated embryo tra...

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Literature Corpus work: 6437635a-0fd3-5fe6-bfa9-a0f50bd3c0d0
DOI: 10.1101/2024.10.28.24316259

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