[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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