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使用深度神经网络提升糖尿病足的早期检测
A Sharaf Eldin1,2, Asmaa S Ahmoud3, Hanaa M Hamza4
1Department of Information and Decision Support Systems, Faculty of Information Technology and Computer Science, Sinai University, Arish 16020, Egypt.
Diagnostics (Basel, Switzerland)
|August 28, 2025
概括
这项研究引入了一种新的混合人工智能模型,用于使用热成像检测糖尿病足 (DFU). 该模型实现了高精度和实时性能,优于临床使用的现有方法.
科学领域:
- 医学成像
- 人工智能
- 计算生物学
背景情况:
- 糖尿病足是一种严重的糖尿病并发症,如果不及早发现,通常会导致截肢.
- 目前的DFU检测方法在计算复杂性,通用性和诊断速度方面面临挑战.
- 需要先进,高效和准确的计算机辅助检测系统.
研究的目的:
- 开发一种新的混合诊断框架,用于早期实时计算机辅助检测糖尿病足 (DFU).
- 提高DFU检测系统的诊断性能和临床适用性.
- 将传统的特征提取与深度学习相结合,以加强DFU识别.
主要方法:
- 使用脚部热图来识别早期DFU的热不对称性.
- 组合定向快速和旋转简报 (ORB) 与特征袋 (BOF) 进行手工特征提取.
- 整合了卷积神经网络 (ResNet50,AlexNet,EfficientNet) 的深度功能,并将它们与手工制作的功能融合在一起.
- 使用轻量级深度神经网络 (DNN) 进行二进制分类.
主要成果:
- 在1670张图像的数据集上实现了高诊断性能:98. 51%的准确性,100%的精度,98. 98%的灵敏度和1. 00的AUC.
- 通过除研究证明混合ORB+DL方法优于独立方法.
- 在精度和AUC方面超越了最先进的模型 (DFU_VIRNet,DFU_QUTNet),同时保持了实时能力和较低的计算成本.
结论:
- 该研究介绍了第一个混合框架,集成ORB手工制作的功能与深度神经表示,用于从热图像中检测DFU.
- 提出的模型提供了高精度,稳定性和实时性能,超越现有方法.
- 该框架显示了在早期DFU诊断中有效的临床部署的巨大潜力.
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Definition A diabetic foot ulcer (DFU) is a chronic, non-healing wound that develops in individuals with diabetes. It typically occurs on pressure-bearing areas such as the heel, metatarsal heads, or hallux, and carries a high risk of infection and amputation.Pathophysiology • The development of DFUs can be explained by four interconnected mechanisms: neuropathy, ischemia, infection, and impaired wound healing. • Neuropathy is the most common factor. Sensory...
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DefinitionDiabetic neuropathy is nerve damage caused by long-standing diabetes mellitus. It results directly from prolonged high blood sugar levels.PathophysiologyThe pathophysiology of diabetic neuropathy involves both metabolic and vascular disturbances triggered by chronic hyperglycemia.Metabolic injury: Elevated glucose levels activate the polyol pathway within nerve cells, leading to the accumulation of sorbitol and fructose. This increases oxidative stress, disrupts normal nerve...
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