首页|基于MRI的腰痛功能障碍自动评估方法研究

基于MRI的腰痛功能障碍自动评估方法研究

Research on Automatic Evaluation Method of Limb Dysfunction of Low Back Pain Based on MRI

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基于腰痛患者的MRI,通过图像预处理,提取能够反映腰痛患者功能障碍的MRI影像特征,并结合机器学习方法,提出了一种基于算法多样性的stacking模型集成算法,为腰痛患者的肢体功能障碍精准评估提供可靠方法和实现手段.
Based on preprocessed MRI images of low back pain patients,this study extracted MRI image features that can reflect the dysfunction of low back pain patients,and proposed a stacking ensemble learning algorithm model based on algorithm diversity,which provided a reliable method and an implementation method for the accurate assessment of limb dysfunction in low back pain patients.

low back painassessment of limb dysfunctionMRImachine learning

翟松林、齐来雪、程茂军

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安徽医科大学附属滁州医院影像科,滁州市,239000

腰痛 功能障碍评估 磁共振成像 机器学习

2024

中国医疗器械杂志
上海市医疗器械检测所

中国医疗器械杂志

CSTPCD
影响因子:0.503
ISSN:1671-7104
年,卷(期):2024.48(1)
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