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Development and evaluation of inexpensive automated deep learning-based imaging systems for embryology

Embryo assessment and selection is a critical step in an In-vitro fertilization (IVF) procedure. Current embryo assessment approaches such as manual microscopic analysis done by embryologists or semi-automated time-lapse imaging systems are highly subjective, time-consuming, or expensive. Availabili...

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Detalhes bibliográficos
Publicado no:Lab Chip
Main Authors: Kanakasabapathy, Manoj Kumar, Thirumalaraju, Prudhvi, Bormann, Charles L., Kandula, Hemanth, Dimitriadis, Irene, Souter, Irene, Yogesh, Vinish, Pavan, Sandeep Kota Sai, Yarravarapu, Divyank, Gupta, Raghav, Pooniwala, Rohan, Shafiee, Hadi
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6934406/
https://ncbi.nlm.nih.gov/pubmed/31755505
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1039/c9lc00721k
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