| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2021-07-09 14:00 Severity determination of chest CT data in tuberculosis patients using deep learning Tetsuya Asakawa, Riku Tsuneda (TUT), Kazuki Simizu, Takuyuki Komoda (THC), Masaki Aono (TUT)  MI2021-19 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The purpose of this study is to make accurate estimates for five labels (infiltrative, focal, tuberculoma, miliary, and fi- brocavernous) based on lung images. We describe the tuberculosis task and approach for chest CT image analysis and then perform a single- label CT image analysis using the task dataset. We propose an image processing and fine-tuning deep neural network model that uses inputs from convolutional neural network features. This paper presents several approaches for applying normalization and pseudo-color to the extracted 2D images, for applying mask data to the extracted 2D image data, and for extracting a set of 2D projection images based on the 3D chest CT data. Our submissions for the task test dataset achieved an unweighted Cohen’s kappa of 0.236 and an accuracy of 0.471. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Computed Tomography / Tuberculosis / Deep Learning / Normalization / Pseudo-color / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 98, MI2021-19, pp. 42-46, July 2021. | |
| Paper # | MI2021-19 | |
| Date of Issue | 2021-07-01 (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) | |
| Download PDF | MI2021-19 |
|
| Conference Information | |
| Committee | MI |
| Conference Date | 2021-07-08 - 2021-07-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical imaging, physics, and recognition |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2021-07-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Severity determination of chest CT data in tuberculosis patients using deep learning |
| Sub Title (in English) | |
| Keyword(1) | Computed Tomography |
| Keyword(2) | Tuberculosis |
| Keyword(3) | Deep Learning |
| Keyword(4) | Normalization |
| Keyword(5) | Pseudo-color |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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 | Kazuki Simizu |
| 3rd Author's Affiliation | Toyohashi Heart Center (THC) |
| 4th Author's Name | Takuyuki Komoda |
| 4th Author's Affiliation | Toyohashi Heart Center (THC) |
| 5th Author's Name | Masaki Aono |
| 5th Author's Affiliation | Toyohashi University of Technology (TUT) |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2021-07-09 14:00:00 |
| Presentation Time | 30 minutes |
| Registration for | MI |
| Paper # | MI2021-19 |
| Volume (vol) | vol.121 |
| Number (no) | no.98 |
| Page | pp.42-46 |
| #Pages | 5 |
| Date of Issue | 2021-07-01 (MI) |
[Return to Top Page]