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

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

370
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
370
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

261
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
261

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

Modeling Brain-Heart Interaction: A Review of Mechanistic Dynamical Models.

IEEE reviews in biomedical engineering·2025
Same author

Mamba-CAM-Sleep: A Mamba-based Channel Attention Model for Sleep Staging Classification.

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

Adaptive long-range modeling of EEG and ECG with Mamba and dynamic graph learning.

Scientific reports·2025
Same author

Assessment of pulse wave velocity through weighted visibility graph metrics from photoplethysmographic signals.

Scientific reports·2025
Same author

Combining flow virometry with tree-based machine learning models for rapid virus particle estimation in different wastewater matrices.

Water research·2025
Same author

Seizure Onset Zone Localization in Focal Epilepsy using stereo-EEG: SCSA and Visibility Graph complementary features.

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: Jan 9, 2026

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis
09:36

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis

Published on: August 12, 2025

518

使用CT图像和混合深度转移学习进行症状和无症状带斑块的分类.

Juan M Vargas, Jean Michel Davaine, Taous-Meriem Laleg-Kirati

    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

    这项研究引入了一种新的AI模型,使用CT扫描来分类带斑块,改善斑块特征,以便更好地评估中风风险.

    科学领域:

    • 医疗成像医学成像
    • 人工智能的人工智能
    • 心血管研究研究心血管研究

    背景情况:

    • 动脉斑块是中风的主要原因.
    • 准确地分类斑块症状对于风险分层至关重要.
    • 目前用于斑块分析的方法存在局限性.

    研究的目的:

    • 开发和验证一个数据驱动的模型来分类有症状和无症状的动脉斑块.
    • 利用深度转移学习来增强从计算机断层扫描 (CT) 图像中提取特征.
    • 为了提高动脉斑块表征的准确性,用于临床决策.

    主要方法:

    • 混合深度传输学习框架结合了卷积神经网络 (CNN) 架构,用于特征提取.
    • 提取了捕捉动脉局部/全球纹理和形态特征的特征.
    • 提取的特征被用作各种机器学习模型的输入,并根据真实世界的数据进行评估.

    主要成果:

    • 拟议的模型证明了在分类动脉斑块方面的可行性和有效性.
    • 深度转移学习方法成功捕获了复杂的斑块特征.
    • 评估的机器学习模型在斑块分类方面显示出有希望的表现.

    更多相关视频

    A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology
    09:33

    A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology

    Published on: February 7, 2015

    16.7K
    Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
    04:40

    Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

    Published on: August 28, 2018

    15.9K

    相关实验视频

    Last Updated: Jan 9, 2026

    A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis
    09:36

    A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis

    Published on: August 12, 2025

    518
    A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology
    09:33

    A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology

    Published on: February 7, 2015

    16.7K
    Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
    04:40

    Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

    Published on: August 28, 2018

    15.9K

    结论:

    • 开发的模型显示了改善动脉疾病临床诊断的巨大潜力.
    • 这种由人工智能驱动的方法可以提高与动脉斑块相关的中风风险的评估.
    • 进一步的研究可以探索将这种模型集成到常规的临床工作流程中.