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Paper Abstract and Keywords
Presentation 2024-02-20 14:00
Fine-tuning Model for Diagnosis of Autism Spectrum Disorder Using fMRI Data
Sae Yoshihara, Takuya Kitamura (NITT) ITS2023-71 IE2023-60
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose and evaluate novel classification models generated by fine-tuning a pre-trained image classification model for diagnosis of autism spectrum disorder using functional magnetic resonance image (fMRI) data. In this method, the features are extracted by the fine-tuned model of the pre-trained EfficientNetV2 or Vision Transformer autoencoder. Then, we classify the feature-extracted data into a class by SVM which shows high generalization ability for classification problem. We evaluate the effectiveness of the proposed model through computer experiments using benchmark datasets.
Keyword (in Japanese) (See Japanese page) 
(in English) Autism Spectrum Disorder / functional Magnetic Resonance Imaging / EfficientNetV2 / Vision Transformer / Support Vector Machine / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 381, IE2023-60, pp. 135-140, Feb. 2024.
Paper # IE2023-60 
Date of Issue 2024-02-12 (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 ITS2023-71 IE2023-60

Conference Information
Committee ITS IE ITE-MMS ITE-ME ITE-AIT  
Conference Date 2024-02-19 - 2024-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2024-02-ITS-IE-MMS-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fine-tuning Model for Diagnosis of Autism Spectrum Disorder Using fMRI Data 
Sub Title (in English)  
Keyword(1) Autism Spectrum Disorder  
Keyword(2) functional Magnetic Resonance Imaging  
Keyword(3) EfficientNetV2  
Keyword(4) Vision Transformer  
Keyword(5) Support Vector Machine  
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Keyword(7)  
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1st Author's Name Sae Yoshihara  
1st Author's Affiliation National Institute of Technology, Toyama College (NITT)
2nd Author's Name Takuya Kitamura  
2nd Author's Affiliation National Institute of Technology, Toyama College (NITT)
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Speaker Author-1 
Date Time 2024-02-20 14:00:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2023-71, IE2023-60 
Volume (vol) vol.123 
Number (no) no.380(ITS), no.381(IE) 
Page pp.135-140 
#Pages 6 
Date of Issue 2024-02-12 (ITS, IE) 

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