| 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 | 2016-03-22 11:25 Image classification of astrocytes for pre- and post-hypoxia adaptation using deep convolutional neural network Sosuke Tanaka, Masahiro Nitta, Kazuto Masamoto, Yoichi Miyawaki (UEC Tokyo)  NC2015-91 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Abstract Astrocytes are a type of glial cells that regulate transportation of nutrition from blood to neurons. Previous studies showed astrocytes change their shape in case of pathological conditions such as hypoxia, suggesting functional roles in microvasculature remodeling in response to environmental changes in the brain. However, it remains unclear what morphological features are specifically influenced by such pathological conditions. In this study, we focused on examples of hypoxia-adapting astrocytes and proposed a novel approach using DCNN (Deep Convolutional Neural Network) to extract morphological features of the astrocytes that change between pre- and post-hypoxia adaptation. The image data of astrocyte, measured by the two-photon microscopy, was analyzed by DCNN and image features represented in a higher layer was used to predict whether each of given astrocyte images corresponds to pre- or post-hypoxia adaptation. Results showed that the prediction performance was accurate (> 95%) for DCNN-extracted features, significantly higher than for other simple image features. Analyses of extracted features further showed that only a small number of image features were important for the prediction. These results suggest that DCNN-extracted image features contain useful information to identify morphological changes of astrocytes during hypoxic adaptation | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Astrocyte / Deep convolutional neural network / Hypoxia / Image feature / Cellular morphology / Two-photon microscopy / Support vector machine / Machine learning | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 514, NC2015-91, pp. 125-130, March 2016. | |
| Paper # | NC2015-91 | |
| Date of Issue | 2016-03-15 (NC) | |
| 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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NC2015-91 |
|
| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2016-03-22 - 2016-03-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tamagawa University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2016-03-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image classification of astrocytes for pre- and post-hypoxia adaptation using deep convolutional neural network |
| Sub Title (in English) | |
| Keyword(1) | Astrocyte |
| Keyword(2) | Deep convolutional neural network |
| Keyword(3) | Hypoxia |
| Keyword(4) | Image feature |
| Keyword(5) | Cellular morphology |
| Keyword(6) | Two-photon microscopy |
| Keyword(7) | Support vector machine |
| Keyword(8) | Machine learning |
| 1st Author's Name | Sosuke Tanaka |
| 1st Author's Affiliation | The University of Electro-Communications (UEC Tokyo) |
| 2nd Author's Name | Masahiro Nitta |
| 2nd Author's Affiliation | The University of Electro-Communications (UEC Tokyo) |
| 3rd Author's Name | Kazuto Masamoto |
| 3rd Author's Affiliation | The University of Electro-Communications (UEC Tokyo) |
| 4th Author's Name | Yoichi Miyawaki |
| 4th Author's Affiliation | The University of Electro-Communications (UEC Tokyo) |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 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 | 2016-03-22 11:25:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2015-91 |
| Volume (vol) | vol.115 |
| Number (no) | no.514 |
| Page | pp.125-130 |
| #Pages | 6 |
| Date of Issue | 2016-03-15 (NC) |
[Return to Top Page]