Paper Abstract and Keywords |
Presentation |
2022-07-09 15:20
Disease segmentation of 3D diagnostic images
-- Disease detection using CT data -- Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-47 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Disease detection from medical images reinforce the judgment of doctors and medical engineers, and is expected to play an active role as a second opinion. Therefore, we detected the disease using the object detection model (Yolo V3 tiny, Yolo V3, Yolo V5) using the CLEF2022 Medical Tuberculosis Detection dataset. However, existing trained models do not have a label to detect the disease. Therefore, we created a labeling learning model and conducted experiments. As a result, high accuracy was achieved with mAP of 95% in Yolo v5. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Computed Tomography / Tuberculosis / Deep Learning / Disease Detection / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 98, MI2022-47, pp. 56-60, July 2022. |
Paper # |
MI2022-47 |
Date of Issue |
2022-07-01 (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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MI2022-47 |
Conference Information |
Committee |
MI |
Conference Date |
2022-07-08 - 2022-07-09 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
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Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Medical imaging, recoginition, etc. |
Paper Information |
Registration To |
MI |
Conference Code |
2022-07-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Disease segmentation of 3D diagnostic images |
Sub Title (in English) |
Disease detection using CT data |
Keyword(1) |
Computed Tomography |
Keyword(2) |
Tuberculosis |
Keyword(3) |
Deep Learning |
Keyword(4) |
Disease Detection |
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1st Author's Name |
Tetsuya Asakawa |
1st Author's Affiliation |
Toyohashi University of Technology (TUT) |
2nd Author's Name |
Riku Tsuneda |
2nd Author's Affiliation |
Toyohashi University of Technology (TUT) |
3rd Author's Name |
Yuki Sugimoto |
3rd Author's Affiliation |
Toyohashi University of Technology (TUT) |
4th Author's Name |
Kazuki Shimizu |
4th Author's Affiliation |
Toyohashi Heart Center (THC) |
5th Author's Name |
Takuyuki Komoda |
5th Author's Affiliation |
Toyohashi Heart Center (THC) |
6th Author's Name |
Masaki Aono |
6th Author's Affiliation |
Toyohashi University of Technology (TUT) |
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Speaker |
Author-1 |
Date Time |
2022-07-09 15:20:00 |
Presentation Time |
20 minutes |
Registration for |
MI |
Paper # |
MI2022-47 |
Volume (vol) |
vol.122 |
Number (no) |
no.98 |
Page |
pp.56-60 |
#Pages |
5 |
Date of Issue |
2022-07-01 (MI) |
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