An improved holographic microwave breast imaging based on deep neural network

被引：0
|
作者：
Wang, Lulu [1 ,2 ]
机构：
[1] Hefei Univ Technol, Sch Instrument Sci & Opto Elect Engn, Hefei, Peoples R China
[2] Shenzhen Technol Univ, Coll Hlth Sci & Environm Engn, Shenzhen, Peoples R China
来源：
PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2019, VOL 3 | 2020年
基金：
中国国家自然科学基金;
关键词：
CANCER DETECTION;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Microwave imaging offers excellent potential for breast cancer detection. Deep learning is state-of-the-art in biomedical imaging, which has been successfully applied for biomedical image classifications. This paper investigates a deep neural network (DNN) based classification method for identifying breast lesion in holographic microwave image (HMI). A computer model is developed to demonstrate the proposed method under practical consideration. Various experiments are carried out to evaluate the proposed DNN-based HMI for breast lesion classification. Results have shown that the proposed method could serve as a helpful imaging tool for automatically classifying different types of breast tissues.
引用
收藏
页数：5
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