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| Paper Abstract and Keywords | ||
| Presentation | 2017-01-18 14:15 A Machine Learning Algorithm for the Automatic and Non-invasive Quality Assessment of Confluent Cells Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.)  MI2016-98 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In the research field of regenerative medicine, non-invasive method of cell quality classification has been expected for safety clinical application. We have implemented the automatic image-based algorithm for the normal human dermal fibroblasts (NDHF) cells. The quality evaluation of confluent NHDFs has potential difficulty because they are highly dense and their orientations shows diversity. To quantified their orientation heterogeneity, we applied scale-invariance feature transform (SIFT) onto the image obtained through some image-processings such as noise-elimination, morphological filtering, skeltonization, and so on. Furthermore, we performed the kernel support vector machine for the feature values to classify the remaining lifespan of cells and condition of culturing. As a result, we provide preliminary algorithms for automatic and non-invasive assessment of cell quality to promote clinical application on tissue engineering. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Regenerative medicine / Phase-contrast microscope / Normal human dermal fibroblasts (NHDF) / Cellular image / Scale-Invariant Feature Transform (SIFT) / Support Vector Machine (SVM) / Pattern recognition / Convolution neural network (CNN) | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 393, MI2016-98, pp. 101-106, Jan. 2017. | |
| Paper # | MI2016-98 | |
| Date of Issue | 2017-01-11 (MI) | |
| ISSN | Print edition: ISSN 0913-5685 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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MI2016-98 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2017-01-18 - 2017-01-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tenbusu Naha |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2017-01-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Machine Learning Algorithm for the Automatic and Non-invasive Quality Assessment of Confluent Cells |
| Sub Title (in English) | |
| Keyword(1) | Regenerative medicine |
| Keyword(2) | Phase-contrast microscope |
| Keyword(3) | Normal human dermal fibroblasts (NHDF) |
| Keyword(4) | Cellular image |
| Keyword(5) | Scale-Invariant Feature Transform (SIFT) |
| Keyword(6) | Support Vector Machine (SVM) |
| Keyword(7) | Pattern recognition |
| Keyword(8) | Convolution neural network (CNN) |
| 1st Author's Name | Kazuki Sato |
| 1st Author's Affiliation | Yamagata University (Yamagata Univ.) |
| 2nd Author's Name | Hiroto Sasaki |
| 2nd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 3rd Author's Name | Ryuji Kato |
| 3rd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 4th Author's Name | Tetsuya Yuasa |
| 4th Author's Affiliation | Yamagata University (Yamagata Univ.) |
| 5th Author's Name | Siu Kang |
| 5th Author's Affiliation | Yamagata University (Yamagata Univ.) |
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| Speaker | 1 |
| Date Time | 2017-01-18 14:15:00 |
| Presentation Time | 40 |
| Registration for | MI |
| Paper # | IEICE-MI2016-98 |
| Volume (vol) | IEICE-116 |
| Number (no) | no.393 |
| Page | pp.101-106 |
| #Pages | IEICE-6 |
| Date of Issue | IEICE-MI-2017-01-11 |
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