Bormann CL, Kanakasabapathy MK, Thirumalaraju P, Gupta R, Pooniwala R, Kandula H, Hariton E, Souter I, Dimitriadis I, Ramirez LB, Curchoe CL, Swain J, Boehnlein LM, Shafiee H. Performance of a deep learning based neural network in the selection of human blastocysts for implantation. Elife. 2020 Sep 15,9:e55301. doi: 10.7554/eLife.55301
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Performance of a deep learning based neural network in the selection of human blastocysts for implantation
Here, we evaluated the use of a deep convolutional neural network (CNN), trained using single timepoint images of embryos collected at 113 hr post-insemination, in embryo selection amongst 97 clinical patient cohorts (742 embryos) and observed an accuracy of 90% in choosing the highest quality embryo available.
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67 - ID: SEP143+ title=Artificial Intelligence, Deep Learning and IVF+
Topic=Artificial Intelligence, Deep Learning and IVF