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

497
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...
497

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

Automated quantification of lens epithelial cell density using deep learning: validation and large-scale clinical application.

Scientific reports·2026
Same author

Feasibility of Magnetic Resonance-based Synthetic Computed Tomography for Proton Dose Calculation in Prostate Cancer.

Journal of medical physics·2026
Same author

The Application of a Deep Learning Algorithm for the Segmentation of Retinal Nerve Fiber Layer Across Different Optic Neuropathies.

Translational vision science & technology·2026
Same author

HACR-Net: An Efficient hybrid attention network for MRI image super-resolution.

PloS one·2026
Same author

Implementing log file-based patient-specific QA for VMAT plans: A comparative study of MobiusFX and measurement-based approaches.

Journal of applied clinical medical physics·2026
Same author

MFAN: Multi-scale Feature Aggregation Network for Brain MRI Image Super-Resolution.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

相关实验视频

Updated: May 31, 2025

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
07:11

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

1.4K

可解释的深度学习用于眼视野预测:人工物校正增强了变压器模型.

Kornchanok Sriwatana1,2, Chanon Puttanawarut3,4, Yanin Suwan5

  • 1Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.

Translational vision science & technology
|January 23, 2025
PubMed
概括

这项研究开发了一种深度学习方法来纠正光学连贯性断层扫描 (OCT) 扫描器件,改善视野损失的预测,以更好地管理青光眼.

更多相关视频

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

291
Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

704

相关实验视频

Last Updated: May 31, 2025

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
07:11

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

1.4K
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

291
Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

704

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:

  • 光学连贯断层扫描 (OCT) 对于诊断青光瘤至关重要.
  • 在OCT扫描中的人工物可以损害诊断的准确性.
  • 预测来自OCT的视野 (VF) 损失对于玻璃眼病管理至关重要.

研究的目的:

  • 开发一种深度学习方法来恢复载有文物的OCT扫描.
  • 为了预测Humphrey视野测试 (HVF) 的功能损失,使用更正的OCT数据.
  • 为了增强玻璃眼结构和功能之间的相关性.

主要方法:

  • 一个生成的扩散模型被用来纠正周状视网膜神经纤维层 (RNFL) 厚度图文物.
  • 三个卷积神经网络和两个基于变压器的模型被训练在原始和文物纠正的数据集.
  • 无标签蒸 (DINO) 视觉转换器 (ViT) 用于预测和可解释性分析.

主要成果:

  • 在经过人工物校正的OCT数据上训练的DINO-ViT模型实现了最高的预测准确性 (RMSE: 4.44 dB,MAE: 3.46 dB).
  • 工件纠正导致全球RMSE和MAE的显著改善 (P <0.05).
  • 可解释性工具证实,文物损害了预测能力,在纠正后会有所改善.

结论:

  • 将自主监督的ViT与生成器件校正相结合,可以增强青光眼中结构功能相关性.
  • 开发的方法为格洛科马的管理和研究提供了一个工具.
  • 处理文物对于准确的OCT扫描的临床解释至关重要.