Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images-Reference-Cited by-同舟云学术

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Published:2019-07-16 Issue:9 Volume:95 Page:952-965
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Caicedo Juan C.¹^ORCID,Roth Jonathan¹²,Goodman Allen¹,Becker Tim¹,Karhohs Kyle W.¹,Broisin Matthieu¹³,Molnar Csaba¹⁴,McQuin Claire¹,Singh Shantanu¹^ORCID,Theis Fabian J.²,Carpenter Anne E.¹^ORCID

Affiliation:

1. Imaging PlatformBroad Institute of MIT and Harvard Cambridge Massachusetts

2. Institute of Computational BiologyGerman Research Center for Environmental Health Munich Germany

3. Biomedical Imaging GroupEcole polytechnique fédérale de Lausanne Lausanne Switzerland

4. Biological Research Centre of the Hungarian Academy of Sciences Szeged Hungary

Funder

European Commission

National Institutes of Health

National Institute of General Medical Sciences

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.23863

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