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一种混合深度学习方法,用于使用X射线图像准确诊断骨骨骨折的开放和关闭骨折

Yapeng Wang¹, Peng Wang¹, Junhao Luo¹

¹Department of Orthopaedics, Wuxi No.9 People's Hospital Affiliated to Soochow University, No. 999, Liangxi Rd., Wuxi, 214000 Jiangsu China.

Health information science and systems

|November 4, 2025

概括

这项研究引入了一个深度学习模型,用于改进开放骨折检测. 人工智能模型提高了骨科成像诊断的准确性,有可能改善患者的治疗结果.

科学领域:

整形外科成像整形外科成像
医学中的人工智能
医学诊断医学诊断医学诊断

背景情况:

开放骨折是关键的伤害,需要准确的诊断.
手动解释放射图像可能会导致错误.
深度学习为自动骨折分类提供了潜力.

研究的目的:

开发一个深度学习模型,用于对开放和封闭的骨骨折的二元分类.
为了增强骨科图像的特征提取.
为了提高骨折诊断的准确性.

主要方法:

开发了一个深度学习图像处理模型.
嵌入式混合卷积与多尺度卷积内核用于特征提取.
集成了一个道注意力机制,以优化功能选择.

主要成果:

该模型的精度 (ACC) 比最先进的模型高4.71%.
在F1得分 (精度) 中表现出4.77%的改善.
废弃实验证实了每个模型组件的有效性.

结论:

拟议的深度学习模型显著提高了开放骨折检测的准确性.
为临床骨科成像提供了一个有前途的工具.
未来的工作包括扩展到其他骨折类型和临床场景.

关键词:

废除实验的试验.准确的诊断是一个准确的诊断.进行比较实验,比较实验.深度学习是一种深度学习.开放式骨折是一个开放式的骨折.

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Fractures: Bone Repair

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Treatment for a fracture is based on the type of break, the bone affected, and the patient's age.
Minor fractures with no bone displacement are treated by immobilizing the fractured bone using a cast or splint. However, in the case of fractures with displaced bones, the broken bones are repositioned before immobilization to ensure successful healing without deformation and loss of function. The realignment of fractured bone ends is performed through a process called reduction. If the...