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

Microbiome of the Eye01:22

Microbiome of the Eye

The human eye has a specialized microbiota that reflects its unique anatomical and immunological environment. This low-biomass microbial community predominantly colonizes the conjunctiva and eyelid margins, playing a vital role in ocular surface homeostasis and defense. Despite its proximity to the richly colonized facial skin, the ocular surface maintains a distinct microbial profile due to continuous mechanical and biochemical defense mechanisms.The conjunctival surface hosts fewer microbial...

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

Sequential Deep Learning to Predict Non-Central to Central Geographic Atrophy Progression from OCT Imaging.

medRxiv : the preprint server for health sciences·2026
Same author

Deep transfer learning for detection of placenta-mediated diseases from ultrasound images.

Scientific reports·2026
Same author

Multi-OCT-SelfNet: integrating self-supervised learning with multi-source data fusion for enhanced multi-class retinal disease classification.

Frontiers in systems biology·2026
Same author

Federated Learning for Multi-Disease Ophthalmic Diagnostics Using OCT Angiography.

Ophthalmology science·2026
Same author

Artificial intelligence and precision medicine.

Scientific reports·2026
Same author

Compact vision language models enable efficient and interpretable optical coherence tomography through layer-specific multimodal learning.

Communications medicine·2025
Same journal

Influence of localized roadway surface obstacles on vehicular emissions under real-world urban driving conditions.

Frontiers in big data·2026
Same journal

Adaptive class-aware feature selection for high-dimensional and imbalanced multi-class network intrusion detection.

Frontiers in big data·2026
Same journal

Deep learning model to predict COPD hospital admissions based on meteorological data: a medical meteorological forecast.

Frontiers in big data·2026
Same journal

Where diverse populations gather: transit accessibility and the spatial structure of social mixing.

Frontiers in big data·2026
Same journal

Inner layer security reinforcement for instant payment systems: a dual layer encryption-steganography evaluation in Brunei's digital payment context.

Frontiers in big data·2026
Same journal

Measuring the impact of virtualization and containerization on the environment when using GPUs for processing the AI models.

Frontiers in big data·2026
查看所有相关文章

相关实验视频

Updated: May 12, 2026

Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

21.8K

海外国家和地区自主网络 (OCT-SelfNet):一个自主监督的框架,具有多源数据集,用于一般化检测视网膜疾病.

Fatema-E Jannat1, Sina Gholami1, Minhaj Nur Alam1

  • 1Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, Charlotte, NC, United States.

Frontiers in big data
|August 13, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了OCT-SelfNet,这是一个自我监督的学习框架,用于从OCT图像中检测眼睛疾病. 这种方法克服了数据稀缺性,并改善了眼科人工智能的概括性.

关键词:
其他国家和地区.在SwinV2V2中使用.自动编码器自动编码器这是分类分类的分类.深度学习是一种深度学习.自主监督的自我监督转移学习转移学习变压器的变压器是一个变压器.

更多相关视频

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
Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

560

相关实验视频

Last Updated: May 12, 2026

Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

21.8K
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
Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

560

科学领域:

  • 眼科医生 眼科 眼科
  • 人工智能的人工智能
  • 医疗成像医学成像

背景情况:

  • 由于隐私问题,有限的标记医疗图像数据阻碍了AI模型在不同患者群体中的泛化.
  • 人工智能进步与其在医疗环境中的实际应用之间存在差距,特别是在本地化模型中.

研究的目的:

  • 开发一个自主监督的机器学习框架,OCT-SelfNet,用于从光学相干断层扫描 (OCT) 图像中检测眼睛疾病.
  • 为了实现眼科人工智能的通用学习,同时尽量减少对广泛标记数据集的需求.

主要方法:

  • 实施了两阶段的培训策略:对未标记数据进行自我监督的预培训,随后进行监督培训.
  • 使用带有SwinV2骨干的蒙面自动编码器进行强大的特征提取.
  • 整合来自多个来源的多样化数据集,以增强疾病的代表性.

主要成果:

  • 与基线模型 (ResNet-50,ViT) 相比,OCT-SelfNet在各种实验条件下表现出优异的性能.
  • 该框架表现出强大的跨数据集概括能力,优于基线模型.
  • 废弃性研究证实,自主监督的预训和数据融合有显著的性能提升.

结论:

  • 据外媒报道,OCT-SelfNet框架显示,使用OCT图像检测眼病的临床部署具有显著的前景.
  • 拟议的两阶段培训方法和掩盖的自动编码器架构有效地增强了域名适应和泛化.
  • 这项工作弥合了人工智能研究和眼科临床应用之间的差距.