Value of Ultrasonic Image Features in Diagnosis of Perinatal Outcomes of Severe Preeclampsia on account of Deep Learning Algorithm

This study is aimed at discussing the value of ultrasonic image features in diagnosis of perinatal outcomes of severe preeclampsia on account of deep learning algorithm. 140 pregnant women singleton with severe preeclampsia were selected as the observation group. At the same time, 140 normal singlet...

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Detalles Bibliográficos
Autores principales: Wang, Qiang, Liu, Dong, Liu, Guangheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759876/
https://www.ncbi.nlm.nih.gov/pubmed/35035520
http://dx.doi.org/10.1155/2022/4010339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759876/
https://www.ncbi.nlm.nih.gov/pubmed/35035520
http://dx.doi.org/10.1155/2022/4010339

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