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

Standing Waves in a Cavity01:28

Standing Waves in a Cavity

1.4K
A household microwave and lasers are examples of standing electromagnetic waves in a cavity. When two conducting metal plates are placed parallel at the nodal planes, it creates a cavity where standing waves are formed. The cavity between the two planes is analogous to a stretched string held at the points x = 0 and x = L. Here, the distance 'L' between the two planes must be an integer multiple of half of the wavelength. The wavelengths that satisfy this condition are given by:
1.4K

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

Antibiotic Sensitivity Pattern of Common Microorganisms Isolated From Surgical Site Infections (SSIs) After Abdominal Surgeries at Ayub Teaching Hospital in Abbottabad, Pakistan.

Cureus·2026
Same author

A Line-Source Approach for Simulating MammoWave Microwave Imaging Apparatus for Breast Lesion Detection.

Sensors (Basel, Switzerland)·2025
Same author

Nanomaterials as electromagnetic sensors for tumour detection.

Nanomedicine (London, England)·2025
Same author

Microwave imaging for breast cancer screening: protocol for an open, multicentric, interventional, prospective, non-randomised clinical investigation to evaluate cancer detection capabilities of MammoWave system on an asymptomatic population across multiple European countries.

BMJ open·2024
Same author

Evaluating customer perspectives on omnichannel shopping satisfaction in the fashion retail sector.

Heliyon·2024
Same author

Integrating clinical research in an operative screening and diagnostic breast imaging department: First experience, results and perspectives using microwave imaging.

Heliyon·2023

相关实验视频

Updated: Jan 10, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.0K

使用微波成像中的基于频率的特征进行乳腺密度分类.

Mehran Taghipour-Gorjikolaie1, Banafsheh Khalesi2, Bilal Khalid3

  • 1School of Engineering, London South Bank University, London, UK. mehran.taghipour-gorjikolaie@lsbu.ac.uk.

Scientific reports
|November 27, 2025
PubMed
概括
此摘要是机器生成的。

微波成像准确地对乳腺密度进行分类,改善早期乳腺癌检测. 这种安全的非电离辐射技术提高了所有女性,特别是年轻女性的诊断准确度.

关键词:
乳腺癌 乳腺癌 乳腺癌乳腺密度 乳腺密度分类 分类 分类 分类.基于频率的功能 基于频率的功能机器学习 机器学习微波成像技术 微波成像技术

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

43.5K
Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors
08:56

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Published on: April 5, 2020

11.4K

相关实验视频

Last Updated: Jan 10, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.0K
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

43.5K
Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors
08:56

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Published on: April 5, 2020

11.4K

科学领域:

  • 生物医学工程 生物医学工程
  • 医疗成像医学成像
  • 放射学 放射学是一门学科.

背景情况:

  • 乳腺密度是乳腺癌检测准确性的关键因素.
  • 高乳腺密度可以掩盖瘤并增加诊断错误.
  • 由于对辐射的担忧,目前的查方法给年轻女性带来了挑战.

研究的目的:

  • 为了评估微波成像,准确的乳腺密度分类.
  • 评估微波成像在改善乳腺癌检测方面的潜力.
  • 为乳腺查提供安全的非电离辐射替代方案.

主要方法:

  • 使用微波成像原型 (MammoWave) 用低功率电磁信号扫描乳房.
  • 从信号大小和阶段中提取出基于频率的特征,使用快速里埃转换 (FFT).
  • 采用支持向量机 (SVM) 与辐射基函数 (RBF) 内核进行分类.

主要成果:

  • 在使用融合的大小和相位特征的乳腺密度分类中达到~70%的准确性.
  • 通过选择特定的微波频率子频段 (1-6 GHz),精度提高到~73%.
  • 证明将乳腺密度分类纳入其中显著提高了用于癌症检测的机器学习模型性能.

结论:

  • 微波成像是一种有前途的技术,用于安全和准确的乳腺密度分类.
  • 基于乳腺密度的个性化查可以提高乳腺癌检测率.
  • 这项技术为所有年龄段的女性提供了可行的替代方案,包括年轻人群.