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Paper Abstract and Keywords
Presentation 2021-11-05 11:05
[Short Paper] Description of microvessel structures in 3D reconstructed microscopic pathological images of pancreatic cancer
Yuka Ishimaki, Tatsuya Yokota, Kugler Mauricio (NITech), Kenoki Ohuchida (KU), Hidekata Hontani (NITech) MICT2021-33 MI2021-31
Abstract (in Japanese) (See Japanese page) 
(in English) In this manuscript, we propose a method that segments microvascular regions in a 3D pathological image. For this purpose, we use a 3D pathological image reconstructed from a series of 2D slice images of the abdominal portion of KPC mouse. In the 3D image, CD31-stained slice images, in which only the microvasculars are stained and are enhanced, are inserted at equal intervals. The proposed method segments microvascular regions in the CD31-stained slice images with U-net. The problem in segmenting vascular regions using U-net is the diversity in the size of the vascular regions and the memory required to run U-net. In order to accurately extract all vascular regions, the U-net is trained and executed in a hierarchical manner to achieve memory-efficient and highly accurate region extraction.
Keyword (in Japanese) (See Japanese page) 
(in English) pancreatic cancer / angiogenesis / pathological image / U-net / 3D image reconstruction / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 231, MI2021-31, pp. 26-27, Nov. 2021.
Paper # MI2021-31 
Date of Issue 2021-10-29 (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 MICT2021-33 MI2021-31

Conference Information
Committee MI MICT  
Conference Date 2021-11-05 - 2021-11-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging technology, healthcare and medical information communication technology 
Paper Information
Registration To MI 
Conference Code 2021-11-MI-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Description of microvessel structures in 3D reconstructed microscopic pathological images of pancreatic cancer 
Sub Title (in English)  
Keyword(1) pancreatic cancer  
Keyword(2) angiogenesis  
Keyword(3) pathological image  
Keyword(4) U-net  
Keyword(5) 3D image reconstruction  
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Keyword(7)  
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1st Author's Name Yuka Ishimaki  
1st Author's Affiliation Nagoya Institute of Technology (NITech)
2nd Author's Name Tatsuya Yokota  
2nd Author's Affiliation Nagoya Institute of Technology (NITech)
3rd Author's Name Kugler Mauricio  
3rd Author's Affiliation Nagoya Institute of Technology (NITech)
4th Author's Name Kenoki Ohuchida  
4th Author's Affiliation Kyushu University (KU)
5th Author's Name Hidekata Hontani  
5th Author's Affiliation Nagoya Institute of Technology (NITech)
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Speaker Author-1 
Date Time 2021-11-05 11:05:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MICT2021-33, MI2021-31 
Volume (vol) vol.121 
Number (no) no.230(MICT), no.231(MI) 
Page pp.26-27 
#Pages 2 
Date of Issue 2021-10-29 (MICT, MI) 

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