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相关概念视频

Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

321
Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
321
Imaging Studies for Cardiovascular System II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

258
Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for...
258

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相关实验视频

Updated: Jul 1, 2025

Murine Fetal Echocardiography
08:04

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积极学习用于左心室细分在心声回声学中的左心室细分.

Eman Alajrami1, Tiffany Ng2, Jevgeni Jevsikov3

  • 1Intelligent Sensing and Vision, University of West London, London, UK.

Computer methods and programs in biomedicine
|March 13, 2024
PubMed
概括

积极学习显著减少了对心声回声学深度学习的注释需求. 我们的方法实现了99%的性能,使用80%更少的数据,降低了成本,提高了细分效率.

关键词:
积极学习是指积极学习.深度学习是一种深度学习.心声回声图 (Echocardiography) 是一种心声回声图.图像细分 图像细分 图像细分

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Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
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Evaluation of Left Ventricular Structure and Function using 3D Echocardiography

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相关实验视频

Last Updated: Jul 1, 2025

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Published on: February 15, 2013

17.3K
Author Spotlight: Advancements in Intracardiac Echocardiography for Atrial Anatomy Assessment
04:29

Author Spotlight: Advancements in Intracardiac Echocardiography for Atrial Anatomy Assessment

Published on: June 30, 2023

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科学领域:

  • 医疗成像医学成像
  • 深度学习 (Deep Learning) 是一种深度学习.
  • 计算心脏病学 计算心脏病学

背景情况:

  • 医疗图像细分的深度学习需要广泛的注释数据集.
  • 创建这些数据集是昂贵和耗时的.
  • 积极学习通过选择信息样本提供解决方案.

研究的目的:

  • 在心声学中研究主动学习,以有效地对左心室进行细分.
  • 减少稀疏的专家注释的负担.
  • 引入和评估一个新的抽样策略.

主要方法:

  • 适应和评估各种主动学习采样技术.
  • 引入优化代表性抽样 (ORS),将异常值和代表性样本结合起来.
  • 将方法应用于具有稀疏注释的心声回声数据集.

主要成果:

  • 使用仅20%的标记数据实现了99%的性能,减少了1680张图像的注释.
  • 在公共数据集上,ORS 显示了 70% 的注释量减少,超过了基线主动学习 (50% 的减少).
  • 在抽样策略中突出显示了数据集特定的性能变化.

结论:

  • 开发了一种具有成本效益的积极学习方法,用于心声回声学细分.
  • 公开发布了一套新的数据集,以推进有效的医学图像注释研究.
  • 为了解医疗图像细分中的高效注释策略做出了贡献.