[基于磁共振成像的腰背痛肢体功能障碍自动评估方法研究]。

Q4 Medicine 中国医疗器械杂志 Pub Date : 2024-01-30 DOI:10.3969/j.issn.1671-7104.230309

Songlin Zhai, Laixue Qi, Maojun Cheng

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引用次数: 0

摘要

本研究基于预处理后的腰背痛患者核磁共振图像，提取了能反映腰背痛患者功能障碍的核磁共振图像特征，并提出了基于算法多样性的堆叠集合学习算法模型，为准确评估腰背痛患者肢体功能障碍提供了可靠的方法和实现途径。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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来源期刊

中国医疗器械杂志 Medicine-Medicine (all)

CiteScore

0.40

自引率

0.00%

发文量

8086

期刊介绍： Chinese Journal of Medical Instrumentation mainly reports on the development, progress, research and development, production, clinical application, management, and maintenance of medical devices and biomedical engineering. Its aim is to promote the exchange of information on medical devices and biomedical engineering in China and turn the journal into a high-quality academic journal that leads academic directions and advocates academic debates.