| 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 | 2018-02-20 10:45 Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using CNN for Regression on Class Probability Kojiro Tanaka, Bisser Raytchev, Takio Kurita, Toru Tamaki, Kazufumi Kaneda (Hiroshima Univ.)  PRMU2017-164 CNR2017-42 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Induced pluripotent stem(iPS) cells, which have the ability to differentiate into any other cell type in the body, are already revolutionizing medical therapy. Since a large number of undifferentiated human iPS cells must be prepared for use, the development of an automated culture system for iPS cells is considered to be crucial. Among the multiple procedures involve in the culture system, detection of good/bad cells and the subsequent elimination of bad cells appears to be one of the most important parts. In this paper we propose a method for detection of good/bad colonies of iPS cells by semantic segmentation. Instead of assigning a single class label to the whole patch, we divide local patches into sub-areas and calculate probability mass function(pmf) for each sub-area to preserve structural information, then learning is carried out by regression rather than classification. Experimental result on two dataset show that a CNN using the proposed method outperforms a classification-based CNN. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | iPS cells / regression / structural information / semantic segmentation / CNN / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 442, PRMU2017-164, pp. 109-114, Feb. 2018. | |
| Paper # | PRMU2017-164 | |
| Date of Issue | 2018-02-12 (PRMU, CNR) | |
| 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 | PRMU2017-164 CNR2017-42 |
|
| Conference Information | |
| Committee | PRMU CNR |
| Conference Date | 2018-02-19 - 2018-02-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2018-02-PRMU-CNR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using CNN for Regression on Class Probability |
| Sub Title (in English) | |
| Keyword(1) | iPS cells |
| Keyword(2) | regression |
| Keyword(3) | structural information |
| Keyword(4) | semantic segmentation |
| Keyword(5) | CNN |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kojiro Tanaka |
| 1st Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
| 2nd Author's Name | Bisser Raytchev |
| 2nd Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
| 3rd Author's Name | Takio Kurita |
| 3rd Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
| 4th Author's Name | Toru Tamaki |
| 4th Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
| 5th Author's Name | Kazufumi Kaneda |
| 5th Author's Affiliation | Hiroshima University (Hiroshima Univ.) |
| 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 | 2018-02-20 10:45:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2017-164, CNR2017-42 |
| Volume (vol) | vol.117 |
| Number (no) | no.442(PRMU), no.443(CNR) |
| Page | pp.109-114 |
| #Pages | 6 |
| Date of Issue | 2018-02-12 (PRMU, CNR) |
[Return to Top Page]