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 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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MI2022-125 |
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) |
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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) |
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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 |
2 |
Date of Issue |
2023-02-27 (MI) |