A deep learning model adjusting for infant gender, age, height, and weight to determine whether the individual infant suit ultrasound examination of developmental dysplasia of the hip (DDH)

A deep learning model adjusting for infant gender, age, height, and weight to determine whether the individual infant suit ultrasound examination of developmental dysplasia of the hip (DDH)

ObjectiveTo examine the correlation between specific indicators and the quality of hip joint ultrasound images in infants and determine whether the individual infant suit ultrasound examination for developmental dysplasia of the hip (DDH).MethodWe retrospectively selected infants aged 0–6 months, un...

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Bibliographic Details
Main Authors: Xiaoyi Chen, Shuangshuang Zhang, Wei Shi, Dechao Wu, Bingxuan Huang, Hongwei Tao, Xuezhi He, Na Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Pediatrics
Subjects:
developmental dysplasia of the hip
infant
ultrasonography
individuation
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2023.1293320/full

Internet

https://www.frontiersin.org/articles/10.3389/fped.2023.1293320/full

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