相关实验视频

Updated: Jun 19, 2026

Corneal Confocal Microscopy: A Novel Non-invasive Technique to Quantify Small Fibre Pathology in Peripheral Neuropathies

Corneal Confocal Microscopy: A Novel Non-invasive Technique to Quantify Small Fibre Pathology in Peripheral Neuropathies

Published on: January 3, 2011

用角膜共聚焦显微镜检测糖尿病外围神经病变的深度学习架构的比较性能:一项回顾性单中心研究

Wenqu Chen¹, Yuyang Deng¹, Weihuang Xu¹

¹Department of Ophthalmology, Fujian Medical University Union Hospital, Fuzhou, China.

|August 19, 2025

概括

使用InceptionV3的深度学习算法使用角膜共聚焦显微镜 (CCM) 图像有效地选糖尿病外围神经病变 (DPN),在精度和AUC方面表现优于其他模型.

科学领域:

眼科医生眼科眼科
医疗成像医学成像
人工智能的人工智能

背景情况:

糖尿病外围神经病变 (DPN) 是糖尿病的一个常见并发症.
早期对DPN进行查对于及时干预和管理至关重要.
角膜共聚焦显微镜 (CCM) 为评估与DPN相关的神经变化提供了一种非侵入性方法.

研究的目的:

开发和评估基于InceptionV3架构的深度学习算法 (DLA),用于DPN选.
评估InceptionV3 DLA在使用CCM图像对具有或没有DPN的糖尿病患者进行分类方面的性能.
为了比较InceptionV3 DLA与其他深度学习模型 (ResNet,DenseNet,Swin Transformer) 进行DPN检测.

主要方法:

进行了一项回顾性研究,涉及127名参与者 (33名健康人,57名DPN+,37名DPN-).
角膜共聚焦显微镜 (CCM) 图像被收集和预处理.
InceptionV3模型在CCM图像数据集的7:1:2分割上进行了训练 (训练,验证,测试).
使用准确度,回忆力,F1分数和AUC来评估性能,并将InceptionV3与ResNet,DenseNet和Swin Transformer模型进行比较.

主要成果:

InceptionV3模型在单参与者预测方面表现出卓越的性能,达到最高准确率 (0.9231),回忆率 (0.8846),F1得分 (0.9020) 和AUC (0.9534).
在一个三类分类任务中,InceptionV3的精度为0.8385,回忆率为0.9083,F1得分为0.8720,从单个CCM图像中预测DPN+的AUC为0.8769.

结论:

基于InceptionV3的DLA显示出有效的糖尿病外围神经病变查的巨大潜力.
这种DLA在DPN检测方面优于传统的卷积神经网络架构和Swin变压器模型.
这些发现表明,使用人工智能的CCM图像分析可以增强DPN选能力.

关键词:

人工智能的人工智能角膜和外部疾病.糖尿病 Mellitus,第二种类型.糖尿病神经病变是一种神经病变.机器学习机器学习

更多相关视频

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

相关概念视频

Diabetic Retinopathy

Diabetic Retinopathy

DefinitionDiabetic retinopathy is a microvascular complication of diabetes affecting the retinal blood vessels.Risk FactorsDiabetic retinopathy is present in almost all individuals with type 1 diabetes and more than 60% of those with type 2 diabetes after two decades of disease.The risk increases with poor glycemic control, hypertension, dyslipidemia, smoking, pregnancy, and puberty.Although cataracts and glaucoma are also more frequent in people with diabetes, retinopathy remains the leading...

Diabetic Neuropathy

Diabetic Neuropathy

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...