Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation

BACKGROUND: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on deep learning (DL) algorithms, validate the effecti...

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Detalles Bibliográficos
Autores principales: Xia, Tai-Hui, Tan, Man, Li, Jing-Hua, Wang, Jing-Jing, Wu, Qing-Qing, Kong, De-Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367072/
https://www.ncbi.nlm.nih.gov/pubmed/34224403
http://dx.doi.org/10.1097/CM9.0000000000001547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367072/
https://www.ncbi.nlm.nih.gov/pubmed/34224403
http://dx.doi.org/10.1097/CM9.0000000000001547

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