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Correction to: Correlation between an annotation-free embryo scoring system based on deep learning and live birth/neonatal outcomes after single vitrified-warmed blastocyst transfer: a single-centre, large-cohort retrospective study

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Correction Crossref 1 open · 1 total · 0 disputed

DOI: 10.1007/s10815-022-02562-5
Notice DOI: 10.1007/s10815-022-02605-x
Event date: 2022-08-31
Machine twin: JSON

01One-hop citing occurrences

Correction Open

An Integrated Optimization and Deep Learning Pipeline for Predicting Live Birth Success in IVF Using Feature Optimization and Transformer-Based Models

ref [7] · 2412.19696 · notice #9500 · dispute

Raw extraction · bibliography line

Ueno, S., Berntsen, J., Ito, M., Okimura, T., & Kato, K. (2022). Correlation between an annotation- free embryo scoring system based on deep learning and live birth/neonatal outcomes after single vitrified-warmed blastocyst transfer: a single -centre, large-cohort retrospective study. Journal of assisted reproduction and genetics, 39(9), 2089–2099. DOI:10.1007/s10815-022-02562-5

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