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

Diabetic Retinopathy01:27

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...

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

Diamondoid Frameworks via Supramolecular Coordination: Structural Characterization, Metallogel Formation, and Adsorption Study.

Inorganic chemistry·2019
Same author

Phthalate side-chain structures and hydrolysis metabolism associated with steroidogenic effects in MLTC-1 Leydig cells.

Toxicology letters·2019
Same author

A New Perspective on the Effect of UV-B on l-Ascorbic Acid Metabolism in Cucumber Seedlings.

Journal of agricultural and food chemistry·2019
Same author

Proteomic investigations of human HERC2 mutants: Insights into the pathobiology of a neurodevelopmental disorder.

Biochemical and biophysical research communications·2019
Same author

Grape seed proanthocyanidin inhibits monocrotaline-induced pulmonary arterial hypertension via attenuating inflammation: in vivo and in vitro studies.

The Journal of nutritional biochemistry·2019
Same author

Designed Conformation and Fluorescence Properties of Self-Assembled Phenazine-Cored Platinum(II) Metallacycles.

Journal of the American Chemical Society·2019
Same journal

Kolmogorov-Arnold Guided Local-Global Attention for Medical Image Classification.

Journal of imaging informatics in medicine·2026
Same journal

Artificial Intelligence-Assisted Inner Ear Computed Tomography Analysis: Radiomics-Based Comparison of Affected and Unaffected Ears in Idiopathic Sudden Sensorineural Hearing Loss.

Journal of imaging informatics in medicine·2026
Same journal

High Adoption, Higher Expectations: A Cross-Sectional Survey of Radiologist Engagement with Artificial Intelligence in the United Arab Emirates.

Journal of imaging informatics in medicine·2026
Same journal

Complex-valued Multi-scale Hybrid Attention Network for Fast MRI via Sparsified Data Learning.

Journal of imaging informatics in medicine·2026
Same journal

Automatic Phase and Sequence Identification in Gd-EOB-DTPA-Enhanced Liver MRI Using Deep Convolutional and Sequential Learning.

Journal of imaging informatics in medicine·2026
Same journal

Ultrasound-Based AI in Predicting Hormone Receptor Status in Breast Cancer: Is "Digital Biopsy" Possible.

Journal of imaging informatics in medicine·2026
查看所有相关文章

相关实验视频

Updated: May 8, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

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

Published on: November 30, 2022

2.7K

一个自主监督的等价细化分类网络用于糖尿病视网膜病变分类.

Jiacheng Fan1, Tiejun Yang2,3,4, Heng Wang1

  • 1School of Information Science and Engineering, Henan University of Technology, Zhengzhou, 450001, China.

Journal of imaging informatics in medicine
|September 19, 2024
PubMed
概括
此摘要是机器生成的。

使用新型自我监督网络 (ERCN) 改善了糖尿病视网膜病变的检测. 这种方法完善了病变定位,并使用基于注意力的多实例学习来提高分类准确度,减少了对广泛注释的需求.

关键词:
糖尿病视网膜病变; 自主监督学习; 多重实例学习; 分类.

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

485
Author Spotlight: Understanding Retinal Vessel Resilience and Disease Progression
04:36

Author Spotlight: Understanding Retinal Vessel Resilience and Disease Progression

Published on: January 12, 2024

1.0K

相关实验视频

Last Updated: May 8, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

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

Published on: November 30, 2022

2.7K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

485
Author Spotlight: Understanding Retinal Vessel Resilience and Disease Progression
04:36

Author Spotlight: Understanding Retinal Vessel Resilience and Disease Progression

Published on: January 12, 2024

1.0K

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:

  • 糖尿病视网膜病变 (DR) 是导致失明的主要原因,需要精确检测.
  • 监督的DR检测方法需要广泛的像素级注释,这构成了重大挑战.
  • 开发自动化,注释效率高的DR分类方法至关重要.

研究的目的:

  • 为糖尿病视网膜病变的分类提出一个自主监督的等价细化分类网络 (ERCN).
  • 为了减少对大型注释数据集的依赖,以准确检测DR.
  • 为了提高DR检测中的病变定位和分类性能.

主要方法:

  • 利用无监督的对比预训练来进行通用特征表示学习.
  • 使用空间掩盖和特征相似性实现了类激活地图 (CAM) 的自我监督改进.
  • 引入混合等价变量规范化损失以减轻CAM精炼问题.
  • 使用基于注意力的多实例学习 (MIL) 来改善特征地图实例权重.

主要成果:

  • 在EyePACS数据集上实现了87.4%的测试准确度.
  • 在DAVIS数据集上达到88.7%的测试准确度.
  • 与现有的自我监督的DR检测方法相比,其表现优越.

结论:

  • 拟议的ERCN方法有效地检测出糖尿病视网膜病变,并具有很高的准确性.
  • 自主监督学习显著减少了在DR检测中需要手动注释的需求.
  • 在糖尿病视网膜病变查中,ERCN为临床应用提供了一个有前途的,注释效率高的方法.