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A Homogeneous Ensemble of Robust Pre-defined Neural Network Enables Automated Annotation of Human Embryo Morphokinetics

BACKGROUND: The purpose of the current study was to reduce the risk of human bias in assessing embryos by automatically annotating embryonic development based on their morphological changes at specified time-points with convolutional neural network (CNN) and artificial intelligence (AI). METHODS: Ti...

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Detalles Bibliográficos
Autores principales:	Danardono, Gunawan B., Erwin, Alva, Purnama, James, Handayani, Nining, Polim, Arie A., Boediono, Arief, Sini, Ivan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Avicenna Research Institute 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674456/ https://www.ncbi.nlm.nih.gov/pubmed/36452194 http://dx.doi.org/10.18502/jri.v23i4.10809

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