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 2020-01-29 10:15
Analysis of disease classification and musculoskeletal anatomy using medical images and radiology reports in a large-scale medical image database
Shuhei Honda, Yoshito Otake (NAIST), Masaki Takao (Osaka Univ.), Eiji Aramaki, Shuntaro Yada, Yuta Hiasa (NAIST), Kento Aida, Shinichi Sato (NII), Akihiro Nishie (Kyushu Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2019-69
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, the environment for the analysis of large databases, such as the large-scale medical image database, have been constructed. Due to this, our research group has been developed an automatic analysis system to analyze musculoskeletal anatomical parameters by gender and age using convolutional neural network (CNN). However, patient-specific backgrounds such as disease are not known, so it is necessary to clarify patient-specific backgrounds to acquire new medical knowledge. In this study, in order to clarify the patient-specific background, a radiology report created by a radiologist when CT images were taken was analyzed by natural language processing to classify diseases. In addition, we analyze the relationship between musculoskeletal anatomical parameters and disease classification, and attempt to acquire new medical knowledge.
Keyword (in Japanese) (See Japanese page) 
(in English) CT Image / Radiology Report / NLP / CNN / BERT / Medical Image Database / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 399, MI2019-69, pp. 19-22, Jan. 2020.
Paper # MI2019-69 
Date of Issue 2020-01-22 (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 MI2019-69

Conference Information
Committee MI  
Conference Date 2020-01-29 - 2020-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWAKEN SEINENKAIKAN 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc. 
Paper Information
Registration To MI 
Conference Code 2020-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of disease classification and musculoskeletal anatomy using medical images and radiology reports in a large-scale medical image database 
Sub Title (in English)  
Keyword(1) CT Image  
Keyword(2) Radiology Report  
Keyword(3) NLP  
Keyword(4) CNN  
Keyword(5) BERT  
Keyword(6) Medical Image Database  
Keyword(7)  
Keyword(8)  
1st Author's Name Shuhei Honda  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Yoshito Otake  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Masaki Takao  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Eiji Aramaki  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
5th Author's Name Shuntaro Yada  
5th Author's Affiliation Nara Institute of Science and Technology (NAIST)
6th Author's Name Yuta Hiasa  
6th Author's Affiliation Nara Institute of Science and Technology (NAIST)
7th Author's Name Kento Aida  
7th Author's Affiliation National Institute of Informatics (NII)
8th Author's Name Shinichi Sato  
8th Author's Affiliation National Institute of Informatics (NII)
9th Author's Name Akihiro Nishie  
9th Author's Affiliation Kyushu University (Kyushu Univ.)
10th Author's Name Nobuhiko Sugano  
10th Author's Affiliation Osaka University (Osaka Univ.)
11th Author's Name Yoshinobu Sato  
11th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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 ()
Speaker Author-1 
Date Time 2020-01-29 10:15:00 
Presentation Time 10 minutes 
Registration for MI 
Paper # MI2019-69 
Volume (vol) vol.119 
Number (no) no.399 
Page pp.19-22 
#Pages
Date of Issue 2020-01-22 (MI) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan