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

Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

1.3K
Tuberculosis, or TB, is a bacterial infectious disease caused by Mycobacterium tuberculosis. While its primary impact is on the lungs, leading to pulmonary tuberculosis, it can also affect various other organs, a condition referred to as extrapulmonary tuberculosis.
Here is a detailed explanation of its pathophysiology:
Transmission: The process begins when a person inhales droplet nuclei containing M. tuberculosis. These are typically released into the air when an individual with pulmonary or...
1.3K
Pulmonary Tuberculosis III01:31

Pulmonary Tuberculosis III

890
Tuberculosis (TB) is a contagious infection primarily affecting the lung parenchyma but which can also affect other body parts. TB can be classified based on disease development, presentation, and the affected anatomical site.
The first classification is based on the development of the disease, and it includes the following categories:
890
Pulmonary Tuberculosis I01:29

Pulmonary Tuberculosis I

802
Tuberculosis, often called TB, is a contagious illness primarily caused by Mycobacterium tuberculosis. It mainly affects the lung parenchyma but can also impact other body parts.
Causative Organism
The primary infectious agent causing tuberculosis is Mycobacterium tuberculosis, a slow-growing, acid-fast, aerobic rod that exhibits sensitivity to heat and ultraviolet light. Instances of Mycobacterium bovis and Mycobacterium avium contributing to the development of TB infection are rare.
Mode of...
802
Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

468
Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...
468
Computed Tomography01:10

Computed Tomography

7.9K
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...
7.9K
Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

523
Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
Latent tuberculosis infection occurs when TB bacteria are present in a person's body, but are not causing illness or symptoms. It is not contagious, and preventive treatment is crucial to avoid the...
523

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

Identification and validation of KASP markers for the non-parchment trait in edible podded pea.

Scientific reports·2026
Same author

Community health education through WhatsApp and mobile applications for TB prevention.

The Indian journal of tuberculosis·2026
Same author

Ethical dimensions of community engagement in tuberculosis prevention programs.

The Indian journal of tuberculosis·2026
Same author

Impact of Soft Palate Involvement on the Outcome of Definitive (Chemo)radiotherapy for Tonsillar Squamous Cell Carcinoma.

Head & neck·2026
Same author

Multifunctional cobalt ferrite nanoparticles with optimized cobalt doping for enhanced photo-Fenton catalysis, energy storage, and antifungal applications.

Scientific reports·2026
Same author

Ammonia storm: unmasking a suspected rare proximal urea cycle disorder in adulthood.

BMC neurology·2026

相关实验视频

Updated: Jan 8, 2026

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
10:04

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates

Published on: September 5, 2017

19.2K

通过通过深度对抗模型进行合成数据增强来增强结核病CT成像分析.

Vaishali Sandeep Baste1, Padmavati Shrivastava2, Rahul Patil3

  • 1Department of Electronics and Telecommunication, Smt. Kashibai Navale College Engineering, Pune, Maharashtra, India.

The Indian journal of tuberculosis
|December 16, 2025
PubMed
概括

使用生成对抗网络 (GAN) 的合成数据增强可以改善结核病CT图像分析. 这种方法增强了病变检测和严重程度评估,特别是在数据稀缺的地区.

关键词:
数据稀缺性的缓解数据稀缺性的缓解深度对抗模式的模型.基于GAN的图像合成损伤特征提取 损伤特征提取合成数据生成的合成数据生成.结核病CT增强术

相关实验视频

Last Updated: Jan 8, 2026

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
10:04

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates

Published on: September 5, 2017

19.2K

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 计算生物学 计算生物学

背景情况:

  • 结核病 (TB) 诊断受到医学成像数据集的数据稀缺和阶级不平衡的挑战,特别是在资源有限的环境中.
  • 使用CT扫描进行结核病分析的现有数据集有限,这阻碍了强大的诊断模型的开发.

研究的目的:

  • 用合成数据增强来解决结核病CT图像分析中的数据稀缺性和阶级不平衡问题.
  • 开发和评估生成对抗网络 (GAN),以合成现实的结核病损伤CT图像.
  • 提高结核病检测和严重程度评估的细分和分类模型的性能.

主要方法:

  • 利用 Hugging Face 的多式结核病数据集从CT图像和病变区域中提取特征.
  • 训练深度卷积GAN (DCGAN) 和CycleGAN模型以生成模仿结核病病变形态的合成CT图像.
  • 采用U-Net架构进行细分和监督网络在GAN增强数据集上进行严重性分类.

主要成果:

  • 用GAN增强的数据集在图像真实性和诊断性能指标 (FID,IS,SSIM,准确性,子,精度,回忆) 中显著改善.
  • 与非增强基线相比,使用GAN增强数据训练的模型表现出更高的细分精度和分类精度.
  • 该研究证实了通过合成数据增强增强模型的强度和通用性.

结论:

  • 基于生成对抗网络的合成增强是一种可行的和有效的技术,可以增强从CT图像中检测结核病变和评估严重程度.
  • 这种方法在缺乏注释数据的环境中尤其有价值,为改善诊断能力提供了一条途径.
  • 这些发现支持将GAN集成用于增强医学成像数据集,以克服数据可用性的局限性并改进人工智能驱动的诊断工具.