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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527234/
https://www.ncbi.nlm.nih.gov/pubmed/32930094
http://dx.doi.org/10.7554/eLife.55301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527234/
https://www.ncbi.nlm.nih.gov/pubmed/32930094
http://dx.doi.org/10.7554/eLife.55301

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