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

Ultrasonography01:17

Ultrasonography

4.5K
Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
4.5K

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

An example for potentially underrated causes of recessive disease in the Greater Middle East: integrative long-read genome and transcriptome sequencing pinpoint a deep-intronic homozygous HEXB candidate founder variant in GM2-gangliosidosis.

Human genomics·2026
Same author

Pre-operative three-dimensional face scans for predicting difficult facemask ventilation: a prospective development study.

Anaesthesia·2026
Same author

HiFi sequencing accurately identifies clinically relevant variants in paralogous genes.

American journal of human genetics·2026
Same author

Targeting EpCAM expression via near-infrared fluorescent antibodies enables microscopic delineation of primary and recurrent HNSCC.

BMC cancer·2026
Same author

[Expert certificate : "Otological, neurotological, and (lateral) skull base surgery"].

HNO·2026
Same author

A review of deep learning-based Unsupervised Anomaly Detection in brain MRI.

Medical image analysis·2026
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

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

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

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

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

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

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

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

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

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

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
查看所有相关文章

相关实验视频

Updated: Jul 8, 2025

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
09:31

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses

Published on: March 30, 2015

8.9K

在注射针时使用自我监督的对比学习和光学一致性断层扫描进行组织分类.

Debayan Bhattacharya, Sarah Latus, Finn Behrendt

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    概括
    此摘要是机器生成的。

    一个新的深度神经网络通过使用光学连贯断层扫描 (OCT) 数据对组织进行分类,改善了医疗程序的针指导. 一种新的预训练策略显著提高了分类准确性,即使数据有限.

    更多相关视频

    Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment
    07:02

    Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment

    Published on: June 30, 2023

    1.6K
    Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
    12:54

    Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

    Published on: October 2, 2021

    3.3K

    相关实验视频

    Last Updated: Jul 8, 2025

    In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
    09:31

    In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses

    Published on: March 30, 2015

    8.9K
    Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment
    07:02

    Author Spotlight: Advancements in In Vivo and Ex Vivo Retinal Imaging for Improved Glaucoma Diagnosis and Treatment

    Published on: June 30, 2023

    1.6K
    Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
    12:54

    Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

    Published on: October 2, 2021

    3.3K

    科学领域:

    • 医疗成像医学成像
    • 机器学习在医学中的应用
    • 生物医学工程 生物医学工程

    背景情况:

    • 精确的针头定位在外围麻醉等医疗程序中至关重要.
    • 目前,医生依靠触觉反和解剖学知识来指导针.
    • 在针头上的目标组织识别可以提供关键的补充反.

    研究的目的:

    • 开发一个深度神经网络 (DNN) 用于分类在注射针时遇到的组织类型.
    • 用光学相干断层扫描 (OCT) 信号的相位和强度数据来评估DNN的性能.
    • 引入和评估一种新的对比预训练策略,以在有限的标记数据集场景中提高DNN性能.

    主要方法:

    • 在插入过程中在针头上获取复杂的OCT信号 (相位和强度数据).
    • 基于OCT数据的组织分类深度神经网络的开发和应用.
    • 实施一种新的对比预训练策略,从相位和强度数据中学习不变表示.

    主要成果:

    • 提出的对比预训练策略显著提高了DNN的F1得分,达到0.84±0.10,仅使用10%的训练数据.
    • 在没有预训练的模型下,在类似的有限数据条件下,获得了较低的F1分数0.60±0.07.
    • 分析揭示了相位和强度数据对组织分类准确性的个人贡献.

    结论:

    • 通过对比预训练增强的深度神经网络显示出在针头插入期间实时组织分类的重大前景.
    • 提议的预训练方法有效地提高了DNN的性能,特别是在低数据模式下.
    • 这种方法提供了一个潜在的途径,以提高针指导和改善患者在各种医疗干预的安全性.