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

Application of Linearization and Approximation01:29

Application of Linearization and Approximation

193
A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
193

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

Nutritional deuterium depletion and health: a scoping review.

Metabolomics : Official journal of the Metabolomic Society·2024
Same author

Machine learning assisted-nanomedicine using magnetic nanoparticles for central nervous system diseases.

Nanoscale advances·2023
Same author

Implantable Devices for the Treatment of Breast Cancer.

Journal of nanotheranostics·2023
Same author

The Shortage of Registered Dietitians or Nutritionists with a Terminal Degree: A Call to Action for the Profession.

Journal of the Academy of Nutrition and Dietetics·2023
Same author

Magnetic Nanoparticle and Exosomal Therapeutic (M-NEXT) Effects on HIV-Associated Neurotoxicity.

Critical reviews in biomedical engineering·2021
Same author

Correction: Dynamic magnetic characterization and magnetic particle imaging enhancement of magnetic-gold core-shell nanoparticles.

Nanoscale·2020

相关实验视频

Updated: May 2, 2026

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone
07:41

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone

Published on: September 8, 2023

2.9K

基于机器学习的横向流量测定量化,使用智能手机捕获的图像.

Anne M Davis1, Asahi Tomitaka1,2

  • 1Department of Computer and Information Sciences, University of Houston-Victoria, Victoria, TX 77904, USA.

Biosensors
|January 24, 2025
PubMed
概括

这项研究引入了机器学习和深度学习,用于从智能手机图像中量化侧向流量测试结果. 随机森林和卷积神经网络 (CNN) 模型显示出在护理点设置中改善诊断准确性的希望.

科学领域:

  • 生物医学诊断 生物医学诊断
  • 机器学习应用程序 机器学习应用程序
  • 在医疗保健中的图像分析.

背景情况:

  • 侧流检测 (LFAs) 被广泛用于方便,低成本的临床诊断.
  • 传统的LFA缺乏精确的量化,只提供定性 (是/否) 的结果.
  • 改善LFA量化对于准确的疾病检测和监测至关重要.

研究的目的:

  • 开发和评估机器学习 (ML) 和深度学习 (DL) 模型,用于量化LFA中的分析物水平.
  • 分析智能手机捕获的LFA图像,以提高诊断准确度.
  • 为了比较不同ML/DL模型在LFA结果解释中的性能.

主要方法:

  • 开发随机森林和卷积神经网络 (CNN) 模型.
  • 在智能手机拍摄的LFA图像上进行培训和测试模型.
  • 基于图像大小和噪音水平对模型性能进行比较分析.

主要成果:

  • 随机森林和CNN模型在LFA结果分类方面表现出强的表现.
  • 随机森林模型在小尺寸图像上训练时表现优于CNN.
  • 美国有线电视新闻网 (CNN) 模型在分类杂的LFA图像方面表现出色.
关键词:
在美国,CNN是CNN.深度学习是一种深度学习.侧向流量检测试验机器学习是机器学习.

更多相关视频

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
06:00

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection

Published on: January 26, 2024

1.2K
Author Spotlight: High-Quality Quantum Dot Nanobeads for Sensitive Fluorescent Lateral Flow Immunoassays
07:13

Author Spotlight: High-Quality Quantum Dot Nanobeads for Sensitive Fluorescent Lateral Flow Immunoassays

Published on: June 28, 2024

1.1K

相关实验视频

Last Updated: May 2, 2026

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone
07:41

Author Spotlight: An Alternative Approach to Protein Quantification by Bradford Assay Using a Smartphone

Published on: September 8, 2023

2.9K
Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
06:00

Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection

Published on: January 26, 2024

1.2K
Author Spotlight: High-Quality Quantum Dot Nanobeads for Sensitive Fluorescent Lateral Flow Immunoassays
07:13

Author Spotlight: High-Quality Quantum Dot Nanobeads for Sensitive Fluorescent Lateral Flow Immunoassays

Published on: June 28, 2024

1.1K

结论:

  • ML和DL模型可以有效地从LFA图像中量化分析物负载,提高诊断能力.
  • 选择模型 (随机森林与CNN) 取决于图像特征 (大小,噪音).
  • 这种方法为使用智能手机进行更准确和更定量地诊断提供了途径.