Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm

Scoliosis is mainly caused by the spinal column deviating from its centerline during the growth process. It usually occurs in children aged 3–7 years old. After a detailed analysis of the existing scoliosis detection methods, this paper compares and analyzes the advantages of using multimedia image...

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Bibliographic Details
Published in:Advances in Multimedia Vol. 2021; pp. 1 - 6
Main Author: Huang, Chunxiang
Format: Journal Article
Language:English
Published: New York Hindawi 30.09.2021
John Wiley & Sons, Inc
Wiley
Subjects:
Algorithms
Curvature
Evolutionary algorithms
Evolutionary computation
Image analysis
Image processing
Methods
Morphology
Multimedia
Scoliosis
ISSN:1687-5680, 1687-5699
Online Access:Get full text
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Summary:Scoliosis is mainly caused by the spinal column deviating from its centerline during the growth process. It usually occurs in children aged 3–7 years old. After a detailed analysis of the existing scoliosis detection methods, this paper compares and analyzes the advantages of using multimedia image processing technology to check scoliosis in children aged 3–7 years and uses an adaptive multiobjective differential evolution algorithm to perform scoliosis comprehensive testing. Finally, the experimental analysis shows that the adaptive multiobjective differential evolution algorithm is applied to scoliosis detection to analyze the characteristics of children's cervical spine curvature and the relationship between the cervical spine curvature and the scoliosis angle.
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ISSN:1687-5680
1687-5699
DOI:10.1155/2021/9951035