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 2025-01-21 13:05
*
Kazuya Nishimura (NCC), Ryoma Bise (Kyushu Univ.), Yasuhiro Kojima (NCC) PRMU2024-34
Abstract (in Japanese) (See Japanese page) 
(in English) Spatial transcriptomics (ST) is a novel technique that simultaneously captures pathological images and gene expression profiling with spatial coordinates. Since ST is closely linked to pathological features such as disease subtypes, it may be valuable for augmenting image representation with pathological information. However, there are no attempts to leverage ST for image recognition ({it i.e,} path-level classification of subtypes of pathological image.). One of the big challenges is significant batch effects in spatial transcriptomics that make it difficult to extract pathological features of images from ST.
In this paper, we propose a batch-agnostic contrastive learning framework that can extract consistent signals from gene expression of ST in multiple patients.
To extract consistent signals from ST, we utilize the batch-agnostic gene encoder that is trained in a variational inference manner.
Experiments demonstrated the effectiveness of our framework on a publicly available dataset.
Keyword (in Japanese) (See Japanese page) 
(in English) pathological image / contrastive learning / multi-modal learning / spatial transcriptomics / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 336, PRMU2024-34, pp. 7-11, Jan. 2025.
Paper # PRMU2024-34 
Date of Issue 2025-01-14 (PRMU) 
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 PRMU2024-34

Conference Information
Committee PRMU IPSJ-CVIM VRSJ-SIG-MR MVE  
Conference Date 2025-01-21 - 2025-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2025-01-PRMU-CVIM-SIG-MR-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) * 
Sub Title (in English)  
Keyword(1) pathological image  
Keyword(2) contrastive learning  
Keyword(3) multi-modal learning  
Keyword(4) spatial transcriptomics  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kazuya Nishimura  
1st Author's Affiliation National Cancer Center (NCC)
2nd Author's Name Ryoma Bise  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Yasuhiro Kojima  
3rd Author's Affiliation National Cancer Center (NCC)
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 2025-01-21 13:05:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2024-34 
Volume (vol) vol.124 
Number (no) no.336 
Page pp.7-11 
#Pages 5 
Date of Issue 2025-01-14 (PRMU) 

[Return to Top Page]

[Return to IEICE Web Page]

(Line Height for English Pages: 1)
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan