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Paper Abstract and Keywords
Presentation 2021-03-04 16:05
Media detection from cardiovascular OCT images based on deep learning
jiwei zhang, kai wang (wakayama univ), Takashi Kubo (Wakayama Medical Univ), haiyuan wu (wakayama univ) PRMU2020-80
Abstract (in Japanese) (See Japanese page) 
(in English) Medical image segmentation is an important issue in determining whether medical images can provide reliable evidence in clinical diagnosis and treatment. The development of medical image segmentation technology not only influences the development of other related technologies in medical image processing such as visualization and three-dimensional reconstruction, but also occupies a very important position in the analysis of biomedical images. In recent years, the application of deep learning algorithms in medical image segmentation has made great strides in medical image segmentation technology. Cardiovascular OCT (Optical Coherence Tomography) technology provides high-definition images of the inside of blood vessels at the microscopic level, enabling detailed anatomical evaluation.
In this paper, we propose a method of dividing the cardiovascular OCT image by the deep learning (Distance Segmentation) method and detecting the media part from the divided region. We also consider using fine-tuning and tricks to improve the identification rate.
Keyword (in Japanese) (See Japanese page) 
(in English) Cardiovascular OCT images / Segmentation / fine-tuning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 409, PRMU2020-80, pp. 65-70, March 2021.
Paper # PRMU2020-80 
Date of Issue 2021-02-25 (PRMU) 
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 PRMU2020-80

Conference Information
Committee PRMU IPSJ-CVIM  
Conference Date 2021-03-04 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computer Vision and Pattern Recognition for specific environment 
Paper Information
Registration To PRMU 
Conference Code 2021-03-PRMU-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Media detection from cardiovascular OCT images based on deep learning 
Sub Title (in English)  
Keyword(1) Cardiovascular OCT images  
Keyword(2) Segmentation  
Keyword(3) fine-tuning  
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1st Author's Name jiwei zhang  
1st Author's Affiliation wakayama university (wakayama univ)
2nd Author's Name kai wang  
2nd Author's Affiliation wakayama university (wakayama univ)
3rd Author's Name Takashi Kubo  
3rd Author's Affiliation Wakayama Medical university (Wakayama Medical Univ)
4th Author's Name haiyuan wu  
4th Author's Affiliation wakayama university (wakayama univ)
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Speaker Author-1 
Date Time 2021-03-04 16:05:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2020-80 
Volume (vol) vol.120 
Number (no) no.409 
Page pp.65-70 
#Pages
Date of Issue 2021-02-25 (PRMU) 


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