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

Computed Tomography01:10

Computed Tomography

8.2K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
8.2K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

353
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
353
Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

308
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
308
Altered States of Awareness01:06

Altered States of Awareness

1.1K
Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
1.1K
Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

702
The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
702
Flail Chest-I01:24

Flail Chest-I

690
Overview of Flail Chest
Flail chest is a severe and potentially life-threatening condition characterized by the fracture of three or more adjacent ribs in multiple places. It is most commonly caused by direct impacts and trauma, such as motor vehicle accidents or injuries from a steering wheel impact. It can also occur due to falls in elderly individuals with osteoporosis, or assaults involving sharp objects.
Pathophysiology
The pathophysiology of flail chest is complex, involving fractures of...
690

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

Surgical Video Understanding with Alignment-Preserving Temporal Adaptation and Action Triplet Text Alignment.

Bioengineering (Basel, Switzerland)·2026
Same author

Enhanced image quality in head and neck MRI with PROPELLER and deep learning reconstruction.

European journal of radiology open·2026
Same author

Evaluation of 2D and 3D nnU-Net models with two-label and three-label strategies for automatic segmentation and total metabolic tumor volume estimation of metastatic differentiated thyroid carcinoma on FDG-PET/CT.

Japanese journal of radiology·2026
Same author

Image Quality Assessment of the External Carotid Artery and Its Branches on Ultra-High-Resolution Head and Neck Computed Tomography Angiography Using a High-Resolution 0.25-mm Detector and Deep Learning Reconstruction.

AJNR. American journal of neuroradiology·2026
Same author

Impact of Basal Ganglia Perivascular Spaces on Ischemic and Hemorrhagic Risks in Patients Taking Antithrombotic Therapies.

Neurology·2026
Same author

Feasibility Study of Multiorgan Dosiomics for Evaluating Radiation-Induced Xerostomia and Dysphagia in Head and Neck Cancer Radiotherapy.

Cancers·2026

相关实验视频

Updated: Jan 29, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
12:06

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Published on: March 3, 2023

4.7K

在多窗口胸部计算机断层扫描上进行隐私意识的持续自我监督学习,以获得域移动稳定性.

Ren Tasai1, Guang Li2, Ren Togo3

  • 1Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan.

Bioengineering (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究引入了一种保护隐私的持续自我监督的学习框架,用于胸部CT图像. 它有效地处理不同窗口设置的域移动,改进医学图像诊断模型.

关键词:
胸部CT图像 图像 胸部CT图像持续的自我监督学习.蒸的特点是蒸.隐藏的重播 隐藏的重播自主监督学习学习

更多相关视频

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

12.9K
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

3.4K

相关实验视频

Last Updated: Jan 29, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
12:06

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Published on: March 3, 2023

4.7K
Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

12.9K
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

3.4K

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 计算机视觉 计算机视觉

背景情况:

  • 医疗图像分析面临挑战,因为注释数据有限和域移动,特别是在胸部CT扫描中,窗口设置各不相同.
  • 现有的持续自主监督学习 (CSSL) 方法通常需要重复使用过去的数据,由于数据隐私问题,这是不切实际的.

研究的目的:

  • 开发一种新的CSSL框架,用于从多窗口胸部CT图像中进行强大的特征学习,同时确保数据隐私.
  • 通过创新的持续预培训策略,解决医疗图像诊断中的灾难性遗忘和领域转移问题.

主要方法:

  • 在CSSL中实施了基于反复播放的潜在机制,以减轻在持续预训练期间的遗忘,并保持数据隐私.
  • 引入了一个特征蒸技术,结合了瓦斯斯坦基于距离的知识蒸和批量知识组合,以实现强大的表示学习.
  • 在不同的窗口设置中利用未标记的胸部CT图像进行持续的预训练.

主要成果:

  • 拟议的框架在从胸部CT图像中学习有意义的,域移动-强大的表征方面表现出卓越的性能.
  • 在训练阶段有效地捕捉了先前学到的知识和新信息之间的关系,减轻了领域转移的影响.
  • 验证了多窗口胸部CT数据的方法,优于现有方法.

结论:

  • 新的CSSL框架为强大的医疗图像分析提供了一个保护隐私的解决方案,特别是在具有不同窗口设置的胸部CT扫描中.
  • 隐性重复和特征蒸的整合增强了模型的概括性和对域移动的弹性.
  • 这种方法通过解决数据稀缺和隐私限制,促进了医疗保健中可靠的人工智能模型的开发.