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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Main Author: Chunxiang Huang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2021/9951035
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author Chunxiang Huang
author_facet Chunxiang Huang
author_sort Chunxiang Huang
collection DOAJ
description 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.
format Article
id doaj-art-7fa17b4ee18f4f71ae9a4187a5660dbf
institution Kabale University
issn 1687-5680
1687-5699
language English
publishDate 2021-01-01
publisher Wiley
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series Advances in Multimedia
spelling doaj-art-7fa17b4ee18f4f71ae9a4187a5660dbf2025-08-20T03:35:20ZengWileyAdvances in Multimedia1687-56801687-56992021-01-01202110.1155/2021/99510359951035Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution AlgorithmChunxiang Huang0Department of Physical Education, Wuyi University, Wuyishan 354300, Fujian, ChinaScoliosis 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.http://dx.doi.org/10.1155/2021/9951035
spellingShingle Chunxiang Huang
Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm
Advances in Multimedia
title Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm
title_full Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm
title_fullStr Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm
title_full_unstemmed Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm
title_short Medical Multimedia Image Analysis of Scoliosis in Children Aged 3–7 Years Based on Adaptive Multiobjective Differential Evolution Algorithm
title_sort medical multimedia image analysis of scoliosis in children aged 3 7 years based on adaptive multiobjective differential evolution algorithm
url http://dx.doi.org/10.1155/2021/9951035
work_keys_str_mv AT chunxianghuang medicalmultimediaimageanalysisofscoliosisinchildrenaged37yearsbasedonadaptivemultiobjectivedifferentialevolutionalgorithm