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Paper Abstract and Keywords
Presentation 2023-03-07 16:50
[Short Paper] Extraction of kidney and renal tumors in a multi-temporal contrast-enhanced CT image database
Dai Nishioka, Kento Nishihira, Kaito Koshino, Hidenobu Suzuki, Yoshiki Kawata (Tokushima Univ.), Yuki Kobari (TWMU), Atsushi Ikeda (U. Tsukuba), Noboru Niki (Medical Science Institute Inc.) MI2022-125
Abstract (in Japanese) (See Japanese page) 
(in English) To develop a highly accurate differentiation method for malignant and benign tumors by precisely analyzing renal and renal tumors from multi-temporal 3D contrast-enhanced CT images. For this purpose, we will construct a database of 200 cases of kidney and renal tumors in multi-temporal contrast-enhanced CT images. Using this database, five types of kidney and renal tumors ( Clear cell renal cell carcinoma, Papillary renal cell carcinoma, Achoromatic renal cell carcinoma, Angiomyolipoma, Oncocytoma) were extracted with high speed and high accuracy using 3D U-Net, and the images were clustered by gender, age, volume, shape, type, non-contrast, arterial phase, portal vein phase, and equilibrium phase images. phase, arterial phase, portal vein phase, and equilibrium phase images. The circulatory dynamics of small-diameter renal tumors are analyzed to demonstrate a highly accurate method for differentiating small-diameter renal tumors.
Keyword (in Japanese) (See Japanese page) 
(in English) Kidney and renal tumors / Multi-temporal contrast-enhanced CT image database / learning data / U-Net / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 417, MI2022-125, pp. 210-211, March 2023.
Paper # MI2022-125 
Date of Issue 2023-02-27 (MI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee MI  
Conference Date 2023-03-06 - 2023-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWA SEINENKAIKAN 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2023-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extraction of kidney and renal tumors in a multi-temporal contrast-enhanced CT image database 
Sub Title (in English)  
Keyword(1) Kidney and renal tumors  
Keyword(2) Multi-temporal contrast-enhanced CT image database  
Keyword(3) learning data  
Keyword(4) U-Net  
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1st Author's Name Dai Nishioka  
1st Author's Affiliation Tokushima University (Tokushima Univ.)
2nd Author's Name Kento Nishihira  
2nd Author's Affiliation Tokushima University (Tokushima Univ.)
3rd Author's Name Kaito Koshino  
3rd Author's Affiliation Tokushima University (Tokushima Univ.)
4th Author's Name Hidenobu Suzuki  
4th Author's Affiliation Tokushima University (Tokushima Univ.)
5th Author's Name Yoshiki Kawata  
5th Author's Affiliation Tokushima University (Tokushima Univ.)
6th Author's Name Yuki Kobari  
6th Author's Affiliation Tokyo Women's Medical University (TWMU)
7th Author's Name Atsushi Ikeda  
7th Author's Affiliation University of Tsukuba (U. Tsukuba)
8th Author's Name Noboru Niki  
8th Author's Affiliation Medical Science Institute Inc (Medical Science Institute Inc.)
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Speaker Author-1 
Date Time 2023-03-07 16:50:00 
Presentation Time 13 minutes 
Registration for MI 
Paper # MI2022-125 
Volume (vol) vol.122 
Number (no) no.417 
Page pp.210-211 
#Pages
Date of Issue 2023-02-27 (MI) 


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