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

The Retina01:32

The Retina

56.7K
The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.
56.7K
Diabetic Retinopathy01:27

Diabetic Retinopathy

65
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...
65

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

A hybrid system for detecting semiconductor wafer defects using modified MobileNet with multi-head attention.

PloS one·2026
Same author

Bangla Speech Emotion Recognition Using Deep Learning-Based Ensemble Learning and Feature Fusion.

Journal of imaging·2025
Same author

A Structured and Methodological Review on Multi-View Human Activity Recognition for Ambient Assisted Living.

Journal of imaging·2025
Same author

A Hybrid CNN Framework DLI-Net for Acne Detection with XAI.

Journal of imaging·2025
Same author

Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review.

PeerJ. Computer science·2025
Same author

LBF-MI: Limited Boolean Functions and Mutual Information to Infer a Gene Regulatory Network from Time-Series Gene Expression Data.

Genes·2025
Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026
Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026
Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026
Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026
Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026
Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026
查看所有相关文章

相关实验视频

Updated: May 6, 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

2.9K

用可解释AI进行多类视网膜疾病查的轻量级CNN

Arjun Kumar Bose Arnob1, Muhammad Hasibur Rashid Chayon1, Fahmid Al Farid2

  • 1Department of Computer Science, American International University-Bangladesh, Dhaka 1229, Bangladesh.

Journal of imaging
|August 27, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种轻量级的深度学习模型,用于准确检测视网膜疾病,克服类失衡,为临床决策提供透明的像素级证据. 这种新的方法提高了早期诊断,并支持在资源有限的环境中进行诊断.

关键词:
卷积神经网络糖尿病视网膜病变眼部疾病眼底图像检查视网膜疾病的分类

更多相关视频

Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies
06:16

Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies

Published on: July 28, 2023

2.7K
Author Spotlight: Simple and Efficient Neural Retina Organoid Production for Disease Modeling
05:03

Author Spotlight: Simple and Efficient Neural Retina Organoid Production for Disease Modeling

Published on: December 22, 2023

1.4K

相关实验视频

Last Updated: May 6, 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

2.9K
Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies
06:16

Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies

Published on: July 28, 2023

2.7K
Author Spotlight: Simple and Efficient Neural Retina Organoid Production for Disease Modeling
05:03

Author Spotlight: Simple and Efficient Neural Retina Organoid Production for Disease Modeling

Published on: December 22, 2023

1.4K

科学领域:

  • 眼科 眼科
  • 人工智能
  • 医学成像

背景情况:

  • 目前用于视网膜疾病查的深度学习模型面临着阶级不平衡,模型大小和缺乏透明度的挑战.
  • 准确及时检测视网膜疾病对于预防不可逆转的视力损失至关重要.

研究的目的:

  • 开发一个轻量级的,注意力增强的卷积神经网络 (CNN),用于准确和透明的视网膜疾病检测.
  • 解决现有的深度学习选器的局限性,包括类不平衡,模型大小和不透明推理.

主要方法:

  • 一个新的CNN架构结合了深度可分离的卷曲,挤压和激发以及全球背景的注意力.
  • 基于梯度的类激活映射 (Grad-CAM和Grad-CAM++) 被集成为像素级的可解释性.
  • 一个严重不平衡的十类颜色基数数据集使用合成少数超样本技术 (SMOTE) 和特定任务的增量进行了重新平衡.

主要成果:

  • 轻量级网络实现了87.9%的测试准确度,超过Inception-V3的58%.
  • 八种疾病的确诊率高 (> 95%),其中斑点痕 (0. 77) 和中央血清性胆色素变异 (0. 89) 的F1得分显著.
  • 突出性地图成功突出了关键的病理特征,验证了模型的决策过程.

结论:

  • 有针对性的类再平衡,轻量级的注意力机制和集成的可解释性使得视网膜查能够准确,透明和可部署.
  • 开发的模型适用于眼科诊断,即使在资源有限的硬件上也是如此.
  • 这种方法为改善全球视网膜疾病的早期检测和管理提供了有希望的解决方案.