Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Glaucoma: Overview01:25

Glaucoma: Overview

1.7K
Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
1.7K
Diabetic Retinopathy01:27

Diabetic Retinopathy

66
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...
66

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

An improved tortuosity measurement method combining curvature-based, breadth-first search and Euclidean distance for retinal image analysis.

PeerJ·2026
Same author

Spike train analysis in rehabilitation movement classification using deep learning approach.

Scientific reports·2025
Same author

Machine Learning-Based Computer Vision for Depth Camera-Based Physiotherapy Movement Assessment: A Systematic Review.

Sensors (Basel, Switzerland)·2025
Same author

Performance Analysis of a Novel Hybrid Segmentation Method for Polycystic Ovarian Syndrome Monitoring.

Diagnostics (Basel, Switzerland)·2023
Same author

Future stem cell analysis: progress and challenges towards state-of-the art approaches in automated cells analysis.

PeerJ·2022
Same author

Towards a Connected Mobile Cataract Screening System: A Future Approach.

Journal of imaging·2022

相关实验视频

Updated: May 6, 2026

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

16.9K

使用红外摄影图像进行非侵入性干眼病检测:一项概念验证研究

Laily Azyan Ramlan1, Wan Mimi Diyana Wan Zaki1, Marizuana Mat Daud2

  • 1Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Malaysia.

Diagnostics (Basel, Switzerland)
|August 28, 2025
PubMed
概括

智能手机的红外热学显示有望检测干眼病 (DED). 这种非侵入性查方法通过分析眼睛表面温度变化来准确识别DED,有助于早期诊断.

关键词:
干眼疾病红外摄像机机器学习统计分析

更多相关视频

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds
10:07

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds

Published on: November 6, 2015

13.6K
Intense Pulsed Light for the Treatment of Dry Eye Owing to Meibomian Gland Dysfunction
05:00

Intense Pulsed Light for the Treatment of Dry Eye Owing to Meibomian Gland Dysfunction

Published on: April 1, 2019

15.1K

相关实验视频

Last Updated: May 6, 2026

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

16.9K
Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds
10:07

Thermal Imaging to Study Stress Non-invasively in Unrestrained Birds

Published on: November 6, 2015

13.6K
Intense Pulsed Light for the Treatment of Dry Eye Owing to Meibomian Gland Dysfunction
05:00

Intense Pulsed Light for the Treatment of Dry Eye Owing to Meibomian Gland Dysfunction

Published on: April 1, 2019

15.1K

科学领域:

  • 眼科 眼科
  • 医学成像
  • 生物医学工程

背景情况:

  • 干眼病 (DED) 严重影响生活质量,原因是眼膜不稳定,眼产量减少.
  • 目前对DED的诊断方法往往是侵入性的,不可携带的,耗时的,导致诊断和治疗延迟.
  • 眼科专业人员的有限访问加剧了DED管理的挑战.

研究的目的:

  • 研究基于智能手机的红外热学 (IRT) 作为DED的非侵入性和便携式查工具的可行性.
  • 通过IRT测量眼睛表面温度变化与已确定的DED指标,如膜破裂时间 (TBUT) 和眼睛表面疾病指数 (OSDI) 之间的相关性.
  • 通过IRT数据评估机器学习模型对正常眼睛和DED眼睛的分类效果.

主要方法:

  • 在40名受试者身上采集了红外热图 (IRT) 图像 (22名正常患者,58名DED患者).
  • 分析了鼻角膜,中角膜和角膜的眼表面温度变化.
  • 进行了统计分析,包括相关性和独立的t测试. 使用机器学习模型 (SVM,k-NN) 来进行分类.

主要成果:

  • 与正常眼睛相比,DED眼睛表现出明显更快的眼表面冷却率 (p < 0. 001).
  • 在所有角膜区域中,TBUT与OSDI (负) 和冷却率 (阳性) 有显著的相关性.
  • 机器学习模型表现出高分类精度,k-NN达到91.89%,SVM达到90.54%.

结论:

  • 基于智能手机的IRT显示出作为干眼病的非侵入性查工具的巨大潜力.
  • 机器学习模型在使用IRT数据进行DED分类时的高精度支持其临床实用性.
  • 需要使用更大,更多样化的数据集进行进一步的验证,以促进该技术的临床应用.