loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Tomokazu Murata 1 ; Kazuhiro Hotta 1 ; Ayako Imanishi 2 ; Michiyuki Matsuda 2 and Kenta Terai 2

Affiliations: 1 Meijo University, Japan ; 2 Kyoto University, Japan

Keyword(s): Segmentation, Cell Membrane, Cell Nucleus, Convolutional Neural Network, U-Net and Bioimage.

Abstract: We propose a segmentation method of cell membrane and nucleus by integrating branches with different roles in a deep neural network. When we use the U-net for segmentation of cell membrane and nucleus, the accuracy is not sufficient. It may be difficult to classify multi-classes by only one network. Thus, we designed a deep network with multiple branches that have different roles. We give each branch a role which segments only cell membrane or nucleus or background, and probability map is generated at each branch. Finally, the generated probability maps by three branches are fed into the convolution layer to improve the accuracy. The final convolutional layer calculates the posterior probability by integrating the probability maps of three branches. Experimental results show that our method improved the segmentation accuracy in comparison with the U-net.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.129.216.102

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Murata, T.; Hotta, K.; Imanishi, A.; Matsuda, M. and Terai, K. (2018). Segmentation of Cell Membrane and Nucleus using Branches with Different Roles in Deep Neural Network. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOSIGNALS; ISBN 978-989-758-279-0; ISSN 2184-4305, SciTePress, pages 256-261. DOI: 10.5220/0006717002560261

@conference{biosignals18,
author={Tomokazu Murata. and Kazuhiro Hotta. and Ayako Imanishi. and Michiyuki Matsuda. and Kenta Terai.},
title={Segmentation of Cell Membrane and Nucleus using Branches with Different Roles in Deep Neural Network},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOSIGNALS},
year={2018},
pages={256-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006717002560261},
isbn={978-989-758-279-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOSIGNALS
TI - Segmentation of Cell Membrane and Nucleus using Branches with Different Roles in Deep Neural Network
SN - 978-989-758-279-0
IS - 2184-4305
AU - Murata, T.
AU - Hotta, K.
AU - Imanishi, A.
AU - Matsuda, M.
AU - Terai, K.
PY - 2018
SP - 256
EP - 261
DO - 10.5220/0006717002560261
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic