APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation

Purpose:Artificial-intelligence population-based automated quantification of placental maturation and health from a rapid functional Magnetic Resonance scan. The placenta plays a crucial role for any successful human pregnancy. Deviations from the normal dynamic maturation throughout gestation are c...

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Detalles Bibliográficos
Autores principales: Pietsch, Maximilian, Ho, Alison, Bardanzellu, Alessia, Zeidan, Aya Mutaz Ahmad, Chappell, Lucy C., Hajnal, Joseph V., Rutherford, Mary, Hutter, Jana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350147/
https://www.ncbi.nlm.nih.gov/pubmed/34229190
http://dx.doi.org/10.1016/j.media.2021.102145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350147/
https://www.ncbi.nlm.nih.gov/pubmed/34229190
http://dx.doi.org/10.1016/j.media.2021.102145

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