An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization

Abstract Medical Assisted Reproduction proved its efficacy to treat the vast majority forms of infertility. One of the key procedures in this treatment is the selection and transfer of the embryo with the highest developmental potential. To assess this potential, clinical embryologists routinely wor...

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Detalhes bibliográficos

Principais autores:	Florian Kromp, Raphael Wagner, Basak Balaban, Véronique Cottin, Irene Cuevas-Saiz, Clara Schachner, Peter Fancsovits, Mohamed Fawzy, Lukas Fischer, Necati Findikli, Borut Kovačič, Dejan Ljiljak, Iris Martínez-Rodero, Lodovico Parmegiani, Omar Shebl, Xie Min, Thomas Ebner
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2023-05-01
coleção:	Scientific Data
Acesso em linha:	https://doi.org/10.1038/s41597-023-02182-3
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