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Automatic identification of human spermatozoa with zona pellucida-binding capability using deep learning

1 Jan 2025

Abstract excerpt

Abstract STUDY QUESTION Can a deep-learning algorithm, independent of World Health Organization (WHO) sperm morphology grading, be used to identify human spermatozoa with zona pellucida (ZP)-binding capability in assisted reproductive technology (ART)? SUMMARY ANSWER A novel deep-learning model, irrespective of the conventional semen analysis, was established to identify human spermatozoa capable of binding to ZP...

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PMID: 40487847
DOI: 10.1093/hropen/hoaf024

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