Performance of a deep learning based neural network in the selection of human blastocysts for implantation

Deep learning in in vitro fertilization is currently being evaluated in the development of assistive tools for the determination of transfer order and implantation potential using time-lapse data collected through expensive imaging hardware. Assistive tools and algorithms that can work with static i...

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Detalhes bibliográficos
Publicado no:eLife
Main Authors: Bormann, Charles L, Kanakasabapathy, Manoj Kumar, Thirumalaraju, Prudhvi, Gupta, Raghav, Pooniwala, Rohan, Kandula, Hemanth, Hariton, Eduardo, Souter, Irene, Dimitriadis, Irene, Ramirez, Leslie B, Curchoe, Carol L, Swain, Jason, Boehnlein, Lynn M, Shafiee, Hadi
Formato: Artigo
Idioma:Inglês
Publicado em: eLife Sciences Publications, Ltd 2020
Assuntos:
Medicine
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7527234/
https://ncbi.nlm.nih.gov/pubmed/32930094
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.55301
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