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Paper Abstract and Keywords
Presentation 2024-03-14 15:10
Diagnosis Support System for Oral Mucosal Diseases Development Which Using Tendency of User's Select a Diseases Area
Taiyo Sato (NIT), Taishi Ohtani, Manabu Habu, Kazuhiro Tominaga (KDU), Keiichi Horio (Kyutech), Nanto Ozaki (NIT) SIS2023-51
Abstract (in Japanese) (See Japanese page) 
(in English) The Diagnosis Support System for Oral Mucosal Diseases is a system designed to assist dentists. The input to the system is an image from which the user cuts out the disease area from the oral. Therefore, there is a problem that the location and the range of the suspected disease area differ depending on the person who performs the extraction, and the identification result differs. Assuming that the range set by the specialist is the correct range, the system was improved for dentists who tend to have larger range than the range set by the specialist. In this report, the system is improved to focus on the outside of the cutout range for dentists who tend to have small range. We verify whether ensemble learning using multiple local images different from the cropped image as input images is effective in improving the discrimination rate. Considered that information such as teeth and opening instruments that exist outside of the disease area may change the extracted feature values and affect the identification. Set unaffected colors from features effective for identification and process oral images. We will investigate the effectiveness of this method by comparing the identification rate of the oral mucosal images after processing and before processing.
Keyword (in Japanese) (See Japanese page) 
(in English) Oral Mucosa Diagnosis / Diagnostic Support / Ensemble Learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 440, SIS2023-51, pp. 33-38, March 2024.
Paper # SIS2023-51 
Date of Issue 2024-03-07 (SIS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee SIS  
Conference Date 2024-03-14 - 2024-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanagawa Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2024-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Diagnosis Support System for Oral Mucosal Diseases Development Which Using Tendency of User's Select a Diseases Area 
Sub Title (in English)  
Keyword(1) Oral Mucosa Diagnosis  
Keyword(2) Diagnostic Support  
Keyword(3) Ensemble Learning  
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1st Author's Name Taiyo Sato  
1st Author's Affiliation National Institute of Technology, Oshima College (NIT)
2nd Author's Name Taishi Ohtani  
2nd Author's Affiliation Kyushu Dental College,department of dentistry (KDU)
3rd Author's Name Manabu Habu  
3rd Author's Affiliation Kyushu Dental College,department of dentistry (KDU)
4th Author's Name Kazuhiro Tominaga  
4th Author's Affiliation Kyushu Dental College,department of dentistry (KDU)
5th Author's Name Keiichi Horio  
5th Author's Affiliation Kyushu Institute of Technology,Graduate School of Life Science and Systems Engineering (Kyutech)
6th Author's Name Nanto Ozaki  
6th Author's Affiliation National Institute of Technology, Oshima College (NIT)
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Speaker Author-1 
Date Time 2024-03-14 15:10:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2023-51 
Volume (vol) vol.123 
Number (no) no.440 
Page pp.33-38 
#Pages
Date of Issue 2024-03-07 (SIS) 


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