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相关概念视频

Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

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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...
204
Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

269
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...
269
Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

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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...
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Pulmonary Tuberculosis III01:31

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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:
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Pulmonary Tuberculosis I01:29

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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.
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计算机辅助诊断使用嵌入式集体深度学习进行多类耐药结核病分类.

Kanchana Sethanan1, Rapeepan Pitakaso2, Thanatkij Srichok2

  • 1Department of Industrial Engineer, Faculty of Engineering, Research Unit on System Modelling for Industry, Khon Kaen University, Khon Kaen, Thailand.

Frontiers in medicine
|July 13, 2023
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概括

一个新的网络应用程序TB-DRD-CXR使用深度学习来根据耐药性对结核病患者进行分类. 它实现了高精度和效率,优于现有的药物敏感性和耐药性结核病分类方法.

关键词:
多种人工智能系统人工智能系统.计算机辅助诊断是指计算机辅助的诊断.耐药性 耐药性 耐药性 耐药性集体深度学习 (deep learning) 是一种集体深度学习.结核病是一种肺结核病.

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科学领域:

  • 医疗信息学 医疗信息学
  • 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) 构成了重大的全球卫生挑战,耐药性使治疗复杂化并增加死亡率.
  • 精确的结核病菌株分类,包括药物敏感结核病 (DS-TB) 和各种形式的耐药结核病 (DR-TB),如多抗药性结核病 (MDR-TB),先前广泛耐药性结核病 (pre-XDR-TB) 和广泛耐药性结核病 (XDR-TB),对于有效的患者管理至关重要.
  • 现有的诊断方法可能缺乏快速临床决策所需的速度和准确性.

研究的目的:

  • 开发和评估TB-DRD-CXR网络应用程序,用于将结核病患者分类为耐药性亚组.
  • 实施一个集体深度学习模型,能够区分五种TB亚型:DS-TB,DR-TB,MDR-TB,XDR-TB前和XDR-TB.

主要方法:

  • 开发了一个集体深度学习模型,结合了新的融合技术,图像细分,数据增强和学习率策略.
  • 该模型的性能与最先进的技术和标准的卷积神经网络 (CNN) 架构进行了基准测试.
  • 开发了TB-DRD-CXR应用程序,并与医疗人员进行了可用性测试.

主要成果:

  • 拟议的集体深度学习模型在现有方法中表现出优异的性能,精度增加范围从4.0%到33.9%.
  • 与标准CNN模型 (例如,DenseNet201,NASNetMobile,EfficientNetV2B3) 相比,观察到显著的准确性改进,收益高达93.4%.
  • 结核病-DRD-CXR应用实现了96.7%的高准确率,卓越的基于时间的效率 (每分钟4.16个目标) 和整体相对效率 (100%).

结论:

  • 结核病-DRD-CXR网络应用程序有效地根据耐药性水平对结核病患者进行分类,使用先进的集体深度学习模型.
  • 该系统具有很高的准确性,效率和用户满意度 (SUS得分为96.7%),这表明它有临床采用潜力.
  • 开发的应用程序代表了结核病诊断的重大进步,比目前的方法提供了更好的性能.