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

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 work with st...

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Detalles Bibliográficos
Autores principales: Kromp, Florian, Wagner, Raphael, Balaban, Basak, Cottin, Véronique, Cuevas-Saiz, Irene, Schachner, Clara, Fancsovits, Peter, Fawzy, Mohamed, Fischer, Lukas, Findikli, Necati, Kovačič, Borut, Ljiljak, Dejan, Martínez-Rodero, Iris, Parmegiani, Lodovico, Shebl, Omar, Min, Xie, Ebner, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175281/
https://www.ncbi.nlm.nih.gov/pubmed/37169791
http://dx.doi.org/10.1038/s41597-023-02182-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175281/
https://www.ncbi.nlm.nih.gov/pubmed/37169791
http://dx.doi.org/10.1038/s41597-023-02182-3

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