Literature DB >> 32053171

Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer.

A Chavez-Badiola1,2, G Mendizabal-Ruiz3, A Flores-Saiffe Farias1, R Garcia-Sanchez1, Andrew J Drakeley4.   

Abstract

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Year:  2020        PMID： 32053171     DOI： 10.1093/humrep/dez263

Source DB:  PubMed          Journal:  Hum Reprod        ISSN： 0268-1161            Impact factor:   6.918


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  2 in total

1.  Using deep learning to predict the outcome of live birth from more than 10,000 embryo data.

Authors:  Bo Huang; Shunyuan Zheng; Bingxin Ma; Yongle Yang; Shengping Zhang; Lei Jin
Journal:  BMC Pregnancy Childbirth       Date:  2022-01-16       Impact factor: 3.007

2.  Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences.

Authors:  Jørgen Berntsen; Jens Rimestad; Jacob Theilgaard Lassen; Dang Tran; Mikkel Fly Kragh
Journal:  PLoS One       Date:  2022-02-02       Impact factor: 3.240
  2 in total

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