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) |
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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 |
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Keyword(1) |
Cardiovascular OCT images |
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Segmentation |
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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 |
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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 |
6 |
Date of Issue |
2021-02-25 (PRMU) |
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