Consistency and objectivity of automated embryo assessments using deep neural networks

OBJECTIVE: To evaluate the consistency and objectivity of deep neural networks in embryo scoring and making disposition decisions for biopsy and cryopreservation in comparison to grading by highly trained embryologists. DESIGN: Prospective double-blind study using retrospective data. SETTING: U.S.-b...

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Detalles Bibliográficos
Autores principales: Bormann, Charles L., Thirumalaraju, Prudhvi, Kanakasabapathy, Manoj Kumar, Kandula, Hemanth, Souter, Irene, Dimitriadis, Irene, Gupta, Raghav, Pooniwala, Rohan, Shafiee, Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583085/
https://www.ncbi.nlm.nih.gov/pubmed/32228880
http://dx.doi.org/10.1016/j.fertnstert.2019.12.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583085/
https://www.ncbi.nlm.nih.gov/pubmed/32228880
http://dx.doi.org/10.1016/j.fertnstert.2019.12.004

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