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

Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

191
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...
191
Pneumothorax-II01:27

Pneumothorax-II

162
Pneumothorax is a medical condition defined by the buildup of air in the pleural space between the lungs and the chest wall. This accumulation of air can lead to partial or complete lung collapse, resulting in a range of clinical manifestations. Understanding the clinical presentation and effective management strategies is crucial for healthcare professionals in providing timely and appropriate care to individuals with pneumothorax.
Clinical Manifestations:
162
X-ray Imaging01:24

X-ray Imaging

5.6K
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...
5.6K
Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

246
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...
246

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

A comprehensive collection of systems biology data characterizing the host response to viral infection.

Scientific data·2015
Same author

7.6  W 1342  nm passively mode-locked picosecond composite Nd:YVO4/YVO4 laser with a semiconductor saturable absorber mirror.

Applied optics·2015
Same author

Millijoule-level picosecond mid-infrared optical parametric amplifier based on MgO-doped periodically poled lithium niobate.

Applied optics·2015
Same author

Structural basis of non-steroidal anti-inflammatory drug diclofenac binding to human serum albumin.

Chemical biology & drug design·2015
Same author

Involvement of cAMP-PKA pathway in adenosine A1 and A2A receptor-mediated regulation of acetaldehyde-induced activation of HSCs.

Biochimie·2015
Same author

Synergistic degradation of chitosan by impinging stream and jet cavitation.

Ultrasonics sonochemistry·2015

相关实验视频

Updated: Jul 10, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K

语义冗余训练数据删除和深度模型分类性能:使用胸部X射线的研究.

Sivaramakrishnan Rajaraman1, Ghada Zamzmi1, Feng Yang1

  • 1National Library of Medicine, National Institutes of Health, Bethesda, MD, United States.

ArXiv
|November 21, 2023
PubMed
概括

删除冗余数据可以提高深度学习模型的性能. 对医学图像的信息子集的训练提高了模型的准确性和通用性,优于在完整数据集上训练的模型.

科学领域:

  • 人工智能的人工智能
  • 医学成像分析 医学成像分析
  • 机器学习 机器学习

背景情况:

  • 深度学习 (DL) 模型擅长从复杂的数据中学习,性能通常与数据量相关.
  • 语义冗余或训练数据中的重复信息可能会阻碍DL模型的性能和通用性.
  • 在医学成像中,语义冗余可能来自类似的疾病表现,并因数据增强而加剧.

结论:

  • 数据选择策略对于优化医学成像中的深度学习模型性能至关重要.
  • 通过有针对性的样本选择来减少语义冗余,可以导致更具通用性和准确的模型.
  • 这种方法为传统方法提供了有价值的替代方案,这些方法依赖于最大限度地提高培训数据量.
关键词:
胸部X射线 胸部X射线深度学习是一种深度学习.有关信息的样本选择选择.语义冗余性的语义冗余性它具有统计学意义.

更多相关视频

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

42.9K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

相关实验视频

Last Updated: Jul 10, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

42.9K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K