Novel method of Characterization of dispersive properties of heterogeneous head tissue using Microwave sensing and Machine learning Algorithms

IF 0.8 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Advanced Electromagnetics Pub Date : 2022-10-06 DOI:10.7716/aem.v11i3.1821

K. Lalitha, J. Manjula

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引用次数: 0

Abstract

A brain tumor is a critical medical condition and early detection is essential for a speedy recovery. Researchers have explored the use of electromagnetic waves in the microwave region for the early detection of brain tumor. However, clinical adoption is not yet realized because of the low resolution of microwave images. This paper provides an innovative approach to improve microwave brain tumor detection intelligently by differentiating normal and malignant tissues using machine learning algorithms. The dataset required for classification is obtained from the antenna measurements. To facilitate the measurement process, an Antipodal Vivaldi antenna with the diamond-shaped parasitic patch (37 mmx21 mm) is designed to operate with a resonance frequency of 3 GHz. The proposed antenna maintains a numerical reflection coefficient (S11) value below -10dB over the entire UWB frequency range. In this paper, Waikato Environment for Knowledge Analysis (WEKA) classification tool with 10 cross-fold validation is used for comparison of various algorithms against the dataset obtained from the proposed antenna.

查看原文本刊更多论文

利用微波传感和机器学习算法表征异质头部组织色散特性的新方法

脑瘤是一种严重的疾病，早期发现对快速康复至关重要。研究人员已经探索了在微波区域使用电磁波来早期检测脑肿瘤。然而，由于微波图像的分辨率低，临床应用尚未实现。本文通过使用机器学习算法区分正常和恶性组织，提供了一种创新的方法来智能地改进微波脑肿瘤检测。分类所需的数据集是从天线测量中获得的。为了便于测量过程，具有菱形寄生贴片（37mmx21mm）的Antipodal Vivaldi天线被设计为在3GHz的谐振频率下工作。所提出的天线在整个UWB频率范围内保持低于-10dB的数值反射系数（S11）值。在本文中，怀卡托知识分析环境（WEKA）分类工具具有10次交叉验证，用于将各种算法与从所提出的天线获得的数据集进行比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advanced Electromagnetics ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

2.40

自引率

12.50%

发文量

审稿时长

10 weeks

期刊介绍： Advanced Electromagnetics, is electronic peer-reviewed open access journal that publishes original research articles as well as review articles in all areas of electromagnetic science and engineering. The aim of the journal is to become a premier open access source of high quality research that spans the entire broad field of electromagnetics from classic to quantum electrodynamics.