Automated prediction of early spontaneous miscarriage based on the analyzing ultrasonographic gestational sac imaging by the convolutional neural network: a case-control and cohort study

BACKGROUND: It is challenging to predict the outcome of the pregnancy when fetal heart activity is detected in early pregnancy. However, an accurate prediction is of importance for obstetricians as it helps to provide appropriate consultancy and determine the frequency of ultrasound examinations. Th...

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Detalles Bibliográficos
Autores principales: Wang, Yu, Zhang, Qixin, Yin, Chenghuan, Chen, Lizhu, Yang, Zeyu, Jia, Shanshan, Sun, Xue, Bai, Yuzuo, Han, Fangfang, Yuan, Zhengwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354356/
https://www.ncbi.nlm.nih.gov/pubmed/35932003
http://dx.doi.org/10.1186/s12884-022-04936-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354356/
https://www.ncbi.nlm.nih.gov/pubmed/35932003
http://dx.doi.org/10.1186/s12884-022-04936-0

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