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

Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
Measuring Acceleration Due to Gravity01:12

Measuring Acceleration Due to Gravity

Consider a coffee mug hanging on a hook in a pantry. If the mug gets knocked, it oscillates back and forth like a pendulum until the oscillations die out.
A simple pendulum can be described as a point mass and a string. Meanwhile, a physical pendulum is any object whose oscillations are similar to a simple pendulum, but cannot be modeled as a point mass on a string because its mass is distributed over a larger area. The behavior of a physical pendulum can be modeled using the principles of...
Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...

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

Multimodal clinical data integration for prognosis of pulmonary embolism: A comparative study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Handling missing modalities in multimodal survival prediction for non-small cell lung cancer.

NPJ digital medicine·2026
Same author

Predicting 2-Year Overall Survival in NSCLC from CT Scans Using 2D CNNs and Soft Attention.

Studies in health technology and informatics·2026
Same author

Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer's disease.

Medical image analysis·2026
Same author

Predicting lung cancer survival with attention-based CT slices combination.

Health information science and systems·2026
Same author

Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs.

BMC medical informatics and decision making·2025

相关实验视频

Updated: Jul 2, 2026

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

使用GravityNet进行端到端的小病变检测.

Ciro Russo1, Alessandro Bria1, Claudio Marrocco1

  • 1Department of Electrical and Information Engineering, University of Cassino and L.M., Via G. Di Biasio 43, 03043 Cassino (FR), Italy.

Artificial intelligence in medicine
|March 29, 2024
PubMed
概括

这项研究介绍了GravityNet,这是一种用于小型医学图像损伤的新型探测器. 它独特的"重力点"动态地准病变,提高了乳房影像和 fundus 图像的检测准确性.

科学领域:

  • 医疗成像医学成像
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 在医学图像中检测小病变是具有挑战性的,因为它们的微妙外观和复杂的背景.
  • 准确地定位这些病变对于及时诊断和治疗至关重要.

研究的目的:

  • 推出一款全新的一级,端到端的深度学习探测器,用于医疗图像中的小病变.
  • 解决现有方法在精确定位小而微妙的异常方面的局限性.

主要方法:

  • 开发了GravityNet,一个新架构,具有动态移动的基于像素的点,称为"重力点".
  • 重力点的设计是为了吸引并汇聚在目标病变上.
  • 评估了检测乳房镜中的微化和检测 fundus 图像中的微动脉瘤的方法.

主要成果:

  • 在两个评估的医学成像任务中,GravityNet在检测小病变方面表现出了有前途的表现.
  • 新型重力点在改善微妙异常的定位精度方面表现出有效性.
  • 一个阶段的,端到端的方法为小型病变检测提供了有效的解决方案.

结论:

  • 在医学成像中,GravityNet提供了一种有效和新的方法来检测医学成像中的小病变.
关键词:
卷积神经网络是一种卷积神经网络.乳房镜检查 (Mammograms) 是一个非常有效的方法.眼睛底部图像 眼睛底部图像基于像素的 anchor 是一个基于像素的 anchor.小病变检测小病变的检测.

更多相关视频

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery
07:30

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery

Published on: May 4, 2022

3.3K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K

相关实验视频

Last Updated: Jul 2, 2026

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
Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery
07:30

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery

Published on: May 4, 2022

3.3K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K
  • 拟议的重力点机制提高了损伤定位的精度.
  • 这种方法有可能改善各种医疗应用中的诊断能力.