A novel system based on artificial intelligence for predicting blastocyst viability and visualizing the explanation

PURPOSE: The purpose of the study was to invent and evaluate the novel artificial intelligence (AI) system named Fertility image Testing Through Embryo (FiTTE) for predicting blastocyst viability and visualizing the explanations via gradient‐based localization. METHODS: The authors retrospectively a...

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Detalles Bibliográficos
Autores principales: Enatsu, Noritoshi, Miyatsuka, Isao, An, Le My, Inubushi, Miki, Enatsu, Kunihiro, Otsuki, Junko, Iwasaki, Toshiroh, Kokeguchi, Shoji, Shiotani, Masahide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967284/
https://www.ncbi.nlm.nih.gov/pubmed/35386375
http://dx.doi.org/10.1002/rmb2.12443

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967284/
https://www.ncbi.nlm.nih.gov/pubmed/35386375
http://dx.doi.org/10.1002/rmb2.12443

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