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

Accessory Structures of the Eye01:17

Accessory Structures of the Eye

3.3K
Optical perception, or vision, is an extraordinary sense dependent on converting light signals received via the ocular organs. These organs, known as eyes, are securely positioned within the bony cavities of the skull, called orbits. The orbits serve a dual purpose: a protective shield for the ocular globes and a stable attachment point for the soft ocular tissues. The eye's external protective mechanisms include the eyelids, which are edged with lashes that act as a barrier against foreign...
3.3K

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

Pathogenicity and immune response of turkey A(H1N2) influenza virus of swine-origin on turkeys and mice.

Veterinary research·2026
Same author

Re-emergence of a highly pathogenic avian influenza H5N1 virus of clade 2.3.4.4b in poultry in France.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases·2026
Same author

Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos.

Medical image analysis·2026
Same author

Reply : Evidence-based functional classification of simultaneous vision intraocular lenses: seeking a global consensus by the ESCRS Functional Vision Working Group.

Journal of cataract and refractive surgery·2026
Same author

Correcting Astigmatism Using Toric Intraocular Lenses During Cataract Surgery.

American journal of ophthalmology·2026
Same author

Vaccination against H5 HP avian influenza virus leads to persistent immune response in wild king penguins.

Nature communications·2026

相关实验视频

Updated: Jan 9, 2026

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

841

在视网膜图像中对眼睛疾病查的背景意识视觉语言基础模型.

Lucie Berger, Mathieu Lamard, Philippe Zhang

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    视觉语言基础 (VLF) 模型对眼部疾病查有希望. 情境感知VLF模型改善了糖尿病视网膜病变的分级,并将其推广到其他眼部疾病,证明了增强的稳定性.

    更多相关视频

    In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
    07:44

    In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

    Published on: July 24, 2020

    3.4K
    Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats
    07:08

    Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats

    Published on: January 10, 2019

    10.5K

    相关实验视频

    Last Updated: Jan 9, 2026

    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

    841
    In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
    07:44

    In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

    Published on: July 24, 2020

    3.4K
    Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats
    07:08

    Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats

    Published on: January 10, 2019

    10.5K

    科学领域:

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

    背景情况:

    • 基础模型为医疗成像挑战提供了可适应的表示.
    • 视觉语言基础 (VLF) 模型正在出现用于图像分析.
    • 眼部疾病查面临数据变化和领域转移问题.

    研究的目的:

    • 通过使用OPHDIAT综合数据集,推进眼病查的VLF模型.
    • 开发具有背景意识的VLF模型,利用多图像和临床数据.
    • 为了增强对视网膜成像中域移动的模型稳定性.

    主要方法:

    • 利用了OPHDIAT数据集,其中包括近70万张 fundus 照片和大量的临床数据.
    • 在FLAIR架构的基础上开发了全新的情境感知VLF模型.
    • 对域内 (OPHDIAT) 和域外公共数据集的评估模型.

    主要成果:

    • 取得了改善的域内糖尿病视网膜病变 (DR) 分级,AUC从0.851到0.9999.
    • 在域外数据 (AUC:0.631-0.913) 上,对眼部疾病检测进行了强有力的概括.
    • 情境感知VLF模型通过分析多个图像和临床背景来提高性能.

    结论:

    • 情境感知VLF模型显著提高了DR分级的准确性和稳定性.
    • 这些模型显示了有效的,普遍的眼部疾病查的潜力.
    • 利用丰富的数据集和上下文信息是推动医疗AI发展的关键.