End-to-end convolutional neural network for automatic encoding facial descriptor (N-CNN) in the diagnosis of intrauterine distress

End-to-end convolutional neural network for automatic encoding facial descriptor (N-CNN) in the diagnosis of intrauterine distress

Background. Existing methods for studying intrauterine distress, despite their prevalence, still have their limitations, so studying and assessment of fetal movements during ultrasound diagnostics can become a convenient and affordable additional tool for diagnosing this pathological condition. The...

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Bibliographic Details
Main Authors: N. V. Korotaeva, L. I. Ippolitova, E. S. Pershina
Format: Article
Language:Russian
Published: Scientific Сentre for Family Health and Human Reproduction Problems 2023-10-01
Series:Acta Biomedica Scientifica
Subjects:
ultrasound diagnostics
neonatology
motor descriptors
facial movements
intrauterine distress
fetuses
Online Access:https://www.actabiomedica.ru/jour/article/view/4327

Internet

https://www.actabiomedica.ru/jour/article/view/4327

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