Evaluation of an improved tool for non-invasive prediction of neonatal respiratory morbidity based on fully automated fetal lung ultrasound analysis

The objective of this study was to evaluate the performance of a new version of quantusFLM®, a software tool for prediction of neonatal respiratory morbidity (NRM) by ultrasound, which incorporates a fully automated fetal lung delineation based on Deep Learning techniques. A set of 790 fetal lung ul...

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Detalles Bibliográficos
Autores principales: Burgos-Artizzu, Xavier P., Perez-Moreno, Álvaro, Coronado-Gutierrez, David, Gratacos, Eduard, Palacio, Montse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374419/
https://www.ncbi.nlm.nih.gov/pubmed/30760806
http://dx.doi.org/10.1038/s41598-019-38576-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374419/
https://www.ncbi.nlm.nih.gov/pubmed/30760806
http://dx.doi.org/10.1038/s41598-019-38576-w

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