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Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality

A critical factor that influences the success of an in-vitro fertilization (IVF) treatment cycle is the quality of the transferred embryo. Embryo morphology assessments, conventionally performed through manual microscopic analysis suffer from disparities in practice, selection criteria, and subjecti...

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Detalhes bibliográficos
Publicado no:Heliyon
Main Authors: Thirumalaraju, Prudhvi, Kanakasabapathy, Manoj Kumar, Bormann, Charles L., Gupta, Raghav, Pooniwala, Rohan, Kandula, Hemanth, Souter, Irene, Dimitriadis, Irene, Shafiee, Hadi
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2021
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7907476/
https://ncbi.nlm.nih.gov/pubmed/33665450
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.heliyon.2021.e06298
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