Data Flow Chart in a Non-Invasive Breast Cancer Diagnosis System

M. Costin, O. Baltag, D. Costandache, C. Ștefănescu
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引用次数: 4

Abstract

Breast cancer continues to be the most common of nonpreventable cancer diagnosed among women. We propose a non-invasive method of abnormal area detection based on microwaves emission detection, in order to uncover the incipient malignant processes. Underlying the actual situation, statistics and methods, our paper comments the necessary stages implemented in order to distinguish and compare the body normal and abnormal microwave radiations. In the same time, we highlight some problems, punctually submitting a fuzzy solution. This paper presents the starting point and some important, necessary steps in our research, which we are further continuing.
非侵入性乳腺癌诊断系统的数据流程图
乳腺癌仍然是女性中最常见的不可预防的癌症。我们提出了一种基于微波发射检测的非侵入性异常区域检测方法,以发现早期的恶性过程。根据实际情况、统计数据和方法,论述了区分和比较人体正常与异常微波辐射应采取的步骤。同时,我们突出一些问题,按时提交模糊解决方案。本文介绍了我们研究的出发点和一些重要的、必要的步骤,我们正在进一步继续研究。
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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