使用微波雷达原型进行乳腺肿瘤反应分类算法研究的初步研究

R. Conceição, D. Byrne, J. A. Noble, I. Craddock
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引用次数: 2

摘要

在这篇论文中,分类算法将用于调查乳房肿瘤的存在,从布里斯托尔大学的雷达微波成像原型收集的信号。许多特征将从乳腺肿瘤的散射中提取出来,然后将用于分类算法,如线性判别分析或二次判别分析。分类器的结果将允许创建合成乳房幻象的图像,其中正常乳房组织被归类为“未命中”,肿瘤组织被归类为“命中”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Initial study for the investigation of breast tumour response with classification algorithms using a microwave radar prototype
In this paper classification algorithms will be used to investigate the presence of tumours in the breast, from signals collected with a radar microwave imaging prototype from the University of Bristol. A number of features will be extracted from the scattering of breast tumours and will then be used in classification algorithms such as Linear Discriminant Analysis or Quadratic Discriminant Analysis. The results from the classifier will allow creating an image of the considered synthetic breast phantom in which normal breast tissue is classified as a “miss” and tumour tissue is classified as a “hit”.
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