Detection of clavicle fracture after martial arts training based on 3D segmentation and multi-perspective fusion

IF 1.7 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Journal of Radiation Research and Applied Sciences Pub Date : 2024-10-31 DOI:10.1016/j.jrras.2024.101164
Guochang Liu , Yuedan Wu , Zujun Zhang , Zheng Wang
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Abstract

To improve the diagnosis efficiency of clavicle fractures, a Diagnosis Model of Clavicle Fracture Based on 3D Segmentation and Multi Perspective Fusion (3Ds MPF) is proposed in the experiment. By performing 3D segmentation on clavicle images, key layer images are extracted, and multi-perspective image data are fused and output to achieve accurate classification and diagnosis results. The results show that on the relevant dataset, the loss function value of the constructed model is less than 0.01, and the calculation accuracy is as high as 0.999. The average classification accuracy in actual use exceeds 90%, and it can capture the majority of fracture features in clavicle computed tomography images. The above results indicate that the model constructed by the research institute can significantly improve the judgment efficiency of computed tomography images, which helps to enhance the detection and diagnosis of clinical fracture conditions. The experimental results have helped improve the clinical diagnostic efficiency of fracture detection work.
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基于三维分割和多视角融合的武术训练后锁骨骨折检测
为提高锁骨骨折的诊断效率,本实验提出了一种基于三维分割和多视角融合的锁骨骨折诊断模型(3Ds MPF)。通过对锁骨图像进行三维分割,提取关键层图像,并融合输出多视角图像数据,从而获得准确的分类和诊断结果。结果表明,在相关数据集上,所建模型的损失函数值小于 0.01,计算精度高达 0.999。实际使用中的平均分类准确率超过 90%,能捕捉到锁骨计算机断层扫描图像中的大部分骨折特征。以上结果表明,该研究所构建的模型能显著提高计算机断层扫描图像的判断效率,有助于提高临床骨折病症的检测和诊断水平。实验结果有助于提高骨折检测工作的临床诊断效率。
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来源期刊
自引率
5.90%
发文量
130
审稿时长
16 weeks
期刊介绍: Journal of Radiation Research and Applied Sciences provides a high quality medium for the publication of substantial, original and scientific and technological papers on the development and applications of nuclear, radiation and isotopes in biology, medicine, drugs, biochemistry, microbiology, agriculture, entomology, food technology, chemistry, physics, solid states, engineering, environmental and applied sciences.
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