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 2021-07-08 13:00
Automated detection of malignant tumors on PET/CT images using convolutional neural networks and statistical images
Takumi Aihara (Gifu Univ.), Masaki Matsusako (St.Luke's International Hospital), Takeshi Hara (Gifu Univ.), Taiki Nozaki (St.Luke's International Hospital), Tetsuro Katafuchi (Gifu University of Medical Science), Satoshi Ito, Masaya Kato (Daiyukai General Hospital), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2021-9
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we performed automatic detection of tumors from PET / CT images using Z-score images. The Z-score image is created by comparing the pixel values of the normal model and the target image. Therefore, we created a Z-score image by performing TPS deformation on a normal model based on a case with an abnormality. Since the candidate regions of tumors contain many false positives, we used a convolutional neural network (CNN) to classify and delete false positives and true positives. We used 336 tumors in the trunk of 63 abnormal cases as detection targets. We used TLG (Total legion glycolysis), which is an index that considers the volume of tumor and the degree of glucose metabolism, and the center of gravity of the tumor region in order to evaluate the number of detected tumors. As a result of conducting experiments by inputting PET images and Z-score images into the CNN, 80.1% of the tumors were successfully extracted by this method, and the number of false positives (FPs) per case was 12.5.
Keyword (in Japanese) (See Japanese page) 
(in English) PET / SUV / Z-score / CNN / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 98, MI2021-9, pp. 1-6, July 2021.
Paper # MI2021-9 
Date of Issue 2021-07-01 (MI) 
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 MI2021-9

Conference Information
Committee MI  
Conference Date 2021-07-08 - 2021-07-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging, physics, and recognition 
Paper Information
Registration To MI 
Conference Code 2021-07-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated detection of malignant tumors on PET/CT images using convolutional neural networks and statistical images 
Sub Title (in English)  
Keyword(1) PET  
Keyword(2) SUV  
Keyword(3) Z-score  
Keyword(4) CNN  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Takumi Aihara  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Masaki Matsusako  
2nd Author's Affiliation St.Luke's International Hospital (St.Luke's International Hospital)
3rd Author's Name Takeshi Hara  
3rd Author's Affiliation Gifu University (Gifu Univ.)
4th Author's Name Taiki Nozaki  
4th Author's Affiliation St.Luke's International Hospital (St.Luke's International Hospital)
5th Author's Name Tetsuro Katafuchi  
5th Author's Affiliation Gifu University of Medical Science (Gifu University of Medical Science)
6th Author's Name Satoshi Ito  
6th Author's Affiliation Daiyukai General Hospital (Daiyukai General Hospital)
7th Author's Name Masaya Kato  
7th Author's Affiliation Daiyukai General Hospital (Daiyukai General Hospital)
8th Author's Name Xiangrong Zhou  
8th Author's Affiliation Gifu University (Gifu Univ.)
9th Author's Name Hiroshi Fujita  
9th Author's Affiliation Gifu University (Gifu Univ.)
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 2021-07-08 13:00:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2021-9 
Volume (vol) vol.121 
Number (no) no.98 
Page pp.1-6 
#Pages 6 
Date of Issue 2021-07-01 (MI) 

[Return to Top Page]

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