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| Presentation | 2020-01-29 13:20 [Short Paper] Growth process analysis of nodular shadows in chest CT images using function expression Shoko Inagaki, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St. Luke's Hospital)  MI2019-79 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Volume changes of lung nodules were recognized to prognose and to predict the abnormalities in the follow-up treatments. The purpose of this study was to compare the volume growth of lung nodules between benign and malignant cases, and to obtain an approximated function based on exponentials from those actual volumes. We have manually extracted 287 nodules from 20 benign and 29 malignant cases. The interaction effects between the two groups were also tested statistically. As a result of the analysis, 92% of the growing processes of nodules were expressed one exponential function. The interaction among the malignant cases were also indicated with a statistical significance. In conclusion, a large difference of growth between benign and malignant nodules was verified, and the similar differences even among the malignant cases were observed. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Chest CT images / Growth of lung nodules / Nodules increase exponentially / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 399, MI2019-79, pp. 67-69, Jan. 2020. | |
| Paper # | MI2019-79 | |
| Date of Issue | 2020-01-22 (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 | MI2019-79 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2020-01-29 - 2020-01-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OKINAWAKEN SEINENKAIKAN |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2020-01-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Growth process analysis of nodular shadows in chest CT images using function expression |
| Sub Title (in English) | |
| Keyword(1) | Chest CT images |
| Keyword(2) | Growth of lung nodules |
| Keyword(3) | Nodules increase exponentially |
| Keyword(4) | |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Shoko Inagaki |
| 1st Author's Affiliation | Gifu University (Gifu Univ.) |
| 2nd Author's Name | Takeshi Hara |
| 2nd Author's Affiliation | Gifu University (Gifu Univ.) |
| 3rd Author's Name | Xiangrong Zhou |
| 3rd Author's Affiliation | Gifu University (Gifu Univ.) |
| 4th Author's Name | Taiki Nozaki |
| 4th Author's Affiliation | St.Luke's International Hospital (St. Luke's Hospital) |
| 5th Author's Name | Masaki Matsusako |
| 5th Author's Affiliation | St.Luke's International Hospital (St. Luke's Hospital) |
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| Speaker | Author-1 |
| Date Time | 2020-01-29 13:20:00 |
| Presentation Time | 30 minutes |
| Registration for | MI |
| Paper # | MI2019-79 |
| Volume (vol) | vol.119 |
| Number (no) | no.399 |
| Page | pp.67-69 |
| #Pages | 3 |
| Date of Issue | 2020-01-22 (MI) |
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