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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Vydáno v:eLife
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: eLife Sciences Publications, Ltd 2020
Témata:
Medicine
On-line přístup: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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