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Paper Abstract and Keywords
Presentation 2023-11-14 11:10
[Short Paper] Choroid layer extraction for 3D OCT images using a deep learning network fusing CNN and Transformer
Shingo Tamachi, Takayuki Okamoto, Takehito Iwase, Yuto Kawamata, Hirotaka Yokouchi, Hideaki Haneishi (Chiba Univ.) MICT2023-28 MI2023-21
Abstract (in Japanese) (See Japanese page) 
(in English) The choroid, a dense vascular layer located in the fundus, accounts for the majority of the blood supply to the retina. In recent years, the correlation between choroidal structure and pathophysiology has been revealed in various eye diseases, emphasizing the significance of the quantitative evaluation of choroidal structures for understanding the pathogenesis of ocular diseases and illnesses. This study aims to develop a method for extracting choroidal structures from three-dimensional (3D) optical coherence tomography (OCT) images of both normal and diseased eyes. The extraction method incorporates preprocessing techniques capable of reducing tailing artifacts and uses a transformer-based 3D deep learning network which embedded convolutional operations. The experimental results show that the proposed method achieved highly accurate choroidal structure extraction with an F-score of 97.9% for both normal and central serous chorioretinopathy (CSC) cases.
Keyword (in Japanese) (See Japanese page) 
(in English) Choroid / Deep Learning / Optical Coherence Tomography / Transformer / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 257, MI2023-21, pp. 13-14, Nov. 2023.
Paper # MI2023-21 
Date of Issue 2023-11-07 (MICT, 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 MICT2023-28 MI2023-21

Conference Information
Committee MI MICT  
Conference Date 2023-11-14 - 2023-11-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2023-11-MI-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Choroid layer extraction for 3D OCT images using a deep learning network fusing CNN and Transformer 
Sub Title (in English)  
Keyword(1) Choroid  
Keyword(2) Deep Learning  
Keyword(3) Optical Coherence Tomography  
Keyword(4) Transformer  
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1st Author's Name Shingo Tamachi  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Takayuki Okamoto  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Takehito Iwase  
3rd Author's Affiliation Chiba University (Chiba Univ.)
4th Author's Name Yuto Kawamata  
4th Author's Affiliation Chiba University (Chiba Univ.)
5th Author's Name Hirotaka Yokouchi  
5th Author's Affiliation Chiba University (Chiba Univ.)
6th Author's Name Hideaki Haneishi  
6th Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2023-11-14 11:10:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MICT2023-28, MI2023-21 
Volume (vol) vol.123 
Number (no) no.256(MICT), no.257(MI) 
Page pp.13-14 
#Pages 2 
Date of Issue 2023-11-07 (MICT, MI) 

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