Comments on "Detection and Localization of Breast Cancer Using UWB Microwave Technology and CNN-LSTM Framework"

被引：0

作者：

Reimer, Tyson ^{[1
]}

Pistorius, Stephen ^{[1
,2
]}

机构：

[1] Univ Manitoba, Dept Phys & Astron, Winnipeg, MB R3T 2N2, Canada

[2] CancerCare Manitoba Res Inst, Winnipeg, MB R3E 0V9, Canada

来源：

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES | 2023年 / 71卷 / 10期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Phantoms; Microwave imaging; Tumors; Machine learning; Extraterrestrial measurements; Microwave antennas; Breast cancer; Breast cancer detection; breast microwave sensing; machine learning; microwave sensing;

D O I：

10.1109/TMTT.2023.3276449

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The above article described a machine learning-based method for tumor detection in breast microwave sensing and presented a comparison to similar reports in the literature. However, we believe a significant and relevant reference was not included in this article's discussion or comparison sections. This comment compares the work in the above article to this relevant reference and discusses the impact that this comparison has on the results reported in the above article.

引用

页码：4614 / 4615

页数：2

共 3 条

[1] Detection and Localization of Breast Cancer Using UWB Microwave Technology and CNN-LSTM Framework
Lu, Min
Xiao, Xia
Pang, Yanwei
Liu, Guancong
Lu, Hong
[J]. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2022, 70 (11) : 5085 - 5094
[2] The Diagnostic Performance of Machine Learning in Breast Microwave Sensing on an Experimental Dataset
Reimer, Tyson
Pistorius, Stephen
[J]. IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY, 2022, 6 (01): : 139 - 145
[3] Reimer T, 2020, PROC EUR CONF ANTENN

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