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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Veröffentlicht in:Advances in Multimedia Jg. 2021; S. 1 - 6
1. Verfasser: Huang, Chunxiang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi 30.09.2021
John Wiley & Sons, Inc
Wiley
Schlagworte:
Algorithms
Curvature
Evolutionary algorithms
Evolutionary computation
Image analysis
Image processing
Methods
Morphology
Multimedia
Scoliosis
ISSN:1687-5680, 1687-5699
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1687-5680
1687-5699
DOI:10.1155/2021/9951035