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相关概念视频

Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

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The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
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X-ray Imaging01:24

X-ray Imaging

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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Computed Tomography01:10

Computed Tomography

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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...
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Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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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...
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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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使用计算机视觉技术,自动检测胸部X射线中的异常.

Zaid Mustafa1, Heba Nsour2

  • 1Department of Computer Information Systems, Prince Abdullah Bin Ghazi Faculty of Information and Communication Technology, Al-Balqa Applied University, Al-Salt 19117, Jordan.

Diagnostics (Basel, Switzerland)
|September 28, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种先进的机器学习算法,用于检测X射线中的肺异常,提高结核病和肺结节等疾病的诊断准确度.

关键词:
在这里,我们可以看到CAD,CAD,CAD.这些异常是异常.计算机视觉技术的使用深度学习算法深度学习算法图像的分类图像的分类.图像处理是图像处理的过程.图像技术 图像技术 图像技术机器学习是机器学习.磁共振成像技术的使用对象检测检测对象检测对象检测肺炎是一种肺炎.

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科学领域:

  • 医疗成像医学成像
  • 医疗保健中的人工智能
  • 放射学 放射学是一门学科.

背景情况:

  • 从胸部X射线诊断肺部疾病的准确和有效诊断对于有效的患者治疗至关重要.
  • 传统的诊断方法有时会忽略微妙的异常,需要先进的分析工具.

研究的目的:

  • 开发和验证一种先进的机器学习算法,用于准确检测胸部X射线图像中的异常.
  • 为医疗保健专业人员提供可靠的工具,用于诊断各种肺部疾病,包括呼吸道感染,结核病 (TB) 和肺结节.

主要方法:

  • 利用大量的胸部X射线图像进行分析.
  • 采用深度学习 (DL) 算法,对象识别和分类模型,特别适应了You Only Look Once (YOLO) v8算法.
  • 实施数据增强技术,如缩放,旋转和模仿,以增强训练数据集的多样性.

主要成果:

  • 经过修改的YOLO v8算法有效地将X射线图像分为不同类别的肺部异常.
  • 该算法在识别常常被传统诊断方法遗漏的独特和关键发现方面表现得非常准确.
  • 取得了可靠的异常检测,这些异常标志着呼吸道感染,结核病 (TB) 和肺结节.

结论:

  • 机器学习 (ML) 算法,特别是像YOLO v8这样的高级DL模型,为诊断肺部疾病提供了可靠和高效的工具.
  • 开发的算法增强了诊断能力,使医疗保健从业人员能够在识别肺部疾病时实现更高的准确性和效率.