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학술대회 Effective Tumor Feature Extraction for Smart Phone based Microwave Tomograp hy Breast Cancer Screening
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저자
Samaneh Aminikhanghahi, Wei Wang, 신승윤, 손성호, 전순익
발행일
201403
출처
Symposium on Applied Computing (SAC) 2014, pp.674-679
DOI
https://dx.doi.org/10.1145/2554850.2554936
협약과제
13PR2600, 전자파 이용 조기진단 고정밀 MT 시스템 개발, 전순익
초록
Mobile Microwave Tomography (MMT) is a new alternative technique to detect breast cancer using smart phone based electronic healthcare system. In this paper, we propose a new solution to extract tumor information from MMT raw data for early breast cancer screening. MMT reflects water contents of breast tissue by measuring their electrical properties and sends permittivity and conductivity raw data to processing servers in hospital via WiFi or 3G/4G networks. In this approach we investigate three different sets of MMT tumor features and perform a comparative study to investigate their set of accuracy measurements for each classification. Through extensive empirical study of the classification results, we have identified the following six parameters as useful to extract tumor information: average permittivity of healthy tissue (APHT), average permittivity of probable tumor area (APPTA), maximum and minimum values of permittivity of probable tumor area (MaxPPTA, and MinPPTA), and energy values of healthy tissue (EVHT) and probable tumor area (EVPA). Copyright 2014 ACM.
KSP 제안 키워드
4G Network, Breast Cancer(BC), Breast cancer screening, Breast tissue, Early breast cancer, Electronic healthcare, Empirical study, Feature extractioN, Healthcare Systems, Microwave tomography, Smart Phone