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相关概念视频

Pleural Effusion II: Symptoms and Management01:28

Pleural Effusion II: Symptoms and Management

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Pleural Effusion Overview
A pleural effusion is the abnormal collection of fluid between the parietal and visceral pleura layers of tissue that form the lining of the lungs and chest cavity. It can occur independently or due to surrounding parenchymal diseases, such as infection, malignancy, or inflammatory conditions.
Clinical Manifestations:
166
Pleural Effusion I: Introduction01:25

Pleural Effusion I: Introduction

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Pleural effusion is an abnormal fluid accumulation in the pleural cavity, a narrow space between the lungs and the chest wall. It is not a disease per se but rather a symptom or indication of an underlying disease. In normal circumstances, this space contains a small amount of fluid (5 to 15 mL), a lubricant facilitating the non-frictional movement of the pleural surfaces.
There are two main types of pleural effusion: transudative and exudative. They are differentiated using Light's...
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Pleura of the Lungs01:13

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The lungs are nestled in a cavity, shielded by the pleura. The pleura, a form of serous membrane, wraps around each lung. This membrane arrangement consists of two layers: the visceral and parietal pleurae. The visceral pleura lines the surface of the lungIn contrast, the parietal pleura is the outer layer and contacts to the thoracic wall, the mediastinum, and the diaphragm. The hilum is the point of connection between the visceral and parietal layers. The space between the parietal and...
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Pleural Disorders: Types and Brief Description01:30

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The pleura is a vital part of the respiratory system. It's a double-layered membrane surrounding the lungs and lining the chest cavity. The two layers of the pleura are:
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相关实验视频

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通过主动学习和伪标签来检测肺部喷液的深度学习模型:一个多站点研究.

Joseph Chang1,2, Bo-Ru Lin3, Ti-Hao Wang4,5,6

  • 1Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, No. 1, Sec. 1, Jen-Ai Road, Taipei 100, 100, Taipei, Taiwan.

BMC medical imaging
|April 19, 2024
PubMed
概括

一个新的深度学习算法用于检测胸部X射线中的胸腔溢液,其准确性很高. 这种计算机辅助分类 (CADt) 系统使用主动学习来减少专家的工作量,提高诊断效率.

关键词:
积极学习是指积极学习.胸部X射线成像 胸部X射线成像深度学习是一种深度学习.腹溢出 腹溢出 是一种这是X射线.

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科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 放射学 放射学是一门学科.

背景情况:

  • 在美国每年有150万人患有多流,需要及时诊断.
  • 当前的诊断方法需要及时,准确地检测到流.
  • 开发临床级算法来检测肺溢液的发展至关重要.

研究的目的:

  • 开发和验证一种基于深度学习的计算机辅助选 (CADt) 算法,用于检测肺部溢液.
  • 利用积极学习 (AL) 框架来提高CADt算法开发的效率.
  • 解决对临床级算法的需求,以便及时诊断腹腔溢液.

主要方法:

  • 一个深度学习算法被训练在10599张来自台湾的胸部X射线图 (2006-2018) 上.
  • 积极学习 (AL) 框架被采用,以尽量减少对专家注释的要求.
  • 外部验证是在美国和台湾22个临床场所的600张胸部X射线图上进行的.

主要成果:

  • CADt算法实现了高诊断性能:灵敏度为0.95,特异性为0.97.
  • 接收器操作特征曲线 (AUC) 下的面积为0.97,表明了非常好的准确性.
  • 该算法在不同的人口统计和临床环境中表现出强的性能.

结论:

  • 一个新的,基于主动学习的CADt算法用于部溢血诊断成功开发和验证.
  • 基于AL的CADt系统实现了高精度,同时大大减少了临床专家的注释工作量.
  • 这种方法提高了利用先进技术进行快速和准确的医学诊断的可行性.