Deep convolutional neural networks for breast image analysis on holographic microwave imaging

被引：0

作者：

Wang, Lulu ^{[1
]}

Xu, Jinzhang ^{[2
]}

机构：

[1] Hefei Univ Technol, Sch Instrument Sci & Optoelect Engn, Dept Biomed Engn, Hefei, Anhui, Peoples R China

[2] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei, Anhui, Peoples R China

来源：

PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2018, VOL 3 | 2019年

基金：

中国国家自然科学基金;

关键词：

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：

This paper presents the development of a deep convolutional neural network (CNN) method namely super-solution CNN to produce a high-resolution microwave breast image from a low-resolution model, which helps to improve the accuracy and efficiency of breast lesion detection within microwave image. Various experiments are conducted to validate the proposed method. Experimental results show that the proposed approach has the potential to produce a high-resolution breast image with high-accuracy.

引用

页数：4

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