Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2026-02-20 15:15
Enhancing Breast Cancer Detection Accuracy Through Multi-Domain Feature Fusion Using Microwave Imaging
Jing Yu, Tomoki Hamagami (Yokohama National Univ.) ITS2025-77 IE2025-92
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the incidence of breast cancer has been increasing, and there is a growing demand for the development of screening technologies that impose less burden on patients.Microwave imaging (MI) is expected to achieve widespread adoption because it involves no radiation exposure, is low-cost, and is painless.In this study, we propose an MI method that generates feature images from multiple domains, including the frequency domain, time domain, and phase domain, based on scan data.Using the proposed method, it became possible to detect small tumors that were difficult to identify with conventional methods such as DAS and DMAS.In particular, the fusion of frequency-domain and time-domain features exhibited low performance variability and yielded stable results.Furthermore, the phase–amplitude integrated images achieved a highest accuracy of 0.9823.
Keyword (in Japanese) (See Japanese page) 
(in English) Breast cancer detection / Microwave imaging / Feature fusion / Deep learning / DenseNet201 / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 356, IE2025-92, pp. 216-221, Feb. 2026.
Paper # IE2025-92 
Date of Issue 2026-02-12 (ITS, IE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ITS2025-77 IE2025-92

Conference Information
Committee IE ITS ITE-MMS ITE-ME ITE-AIT ITE-SIP  
Conference Date 2026-02-19 - 2026-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2026-02-IE-ITS-MMS-ME-AIT-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Enhancing Breast Cancer Detection Accuracy Through Multi-Domain Feature Fusion Using Microwave Imaging 
Sub Title (in English)  
Keyword(1) Breast cancer detection  
Keyword(2) Microwave imaging  
Keyword(3) Feature fusion  
Keyword(4) Deep learning  
Keyword(5) DenseNet201  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Jing Yu  
1st Author's Affiliation Yokohama National University (Yokohama National Univ.)
2nd Author's Name Tomoki Hamagami  
2nd Author's Affiliation Yokohama National University (Yokohama National Univ.)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2026-02-20 15:15:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2025-77, IE2025-92 
Volume (vol) vol.125 
Number (no) no.355(ITS), no.356(IE) 
Page pp.216-221 
#Pages 6 
Date of Issue 2026-02-12 (ITS, IE) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan