nucleAIzer:A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

Year of publication

2020

Authors

Hollandi, Reka; Szkalisity, Abel; Toth, Timea; Tasnadi, Ervin; Molnar, Csaba; Mathe, Botond; Grexa, Istvan; Molnar, Jozsef; Balind, Arpad; Gorbe, Mate; Kovacs, Maria; Migh, Ede; Goodman, Allen; Balassa, Tamas; Koos, Krisztian; Wang, Wenyu; Caicedo, Juan Carlos; Bara, Norbert; Kovacs, Ferenc; Paavolainen, Lassi

Organizations and authors

University of Helsinki

Szkalisity Abel

Paavolainen Lassi

Horvath Peter

Wang Wenyu

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Cell Systems

Parent publication name

Cell Systems

Volume

Issue

Pages

453-+

ISSN

2405-4712

Publication forum

82716

Publication forum level

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

License of the publisher’s version

CC BY

Self-archived

Yes

License of the self-archived publication

CC BY

Other information

Fields of science

Biochemistry, cell and molecular biology

Publication country

Netherlands

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

Yes

DOI

10.1016/j.cels.2020.04.003

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes