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Updated: Jan 10, 2026

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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

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

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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:
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