<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Deep Learning-Inferred Multiplex ImmunoFluorescence for Immunohistochemical Image Quantification

descriptionPublicationkeyboard_double_arrow_right Article 07 Apr 2022Publisher:Springer Science and Business Media LLCJournal:Nature Machine Intelligence, volume 4, pages 401-412 (eissn: 2522-5839,

Authors: Parmida Ghahremani; Yanyun Li; Arie Kaufman; Rami Vanguri; Noah Greenwald; Michael Angelo; Travis J. Hollmann; +1 Authors

doi: 10.1038/s42256-022-00471-x

pmid: 36118303

pmc: PMC9477216

Deep Learning-Inferred Multiplex ImmunoFluorescence for Immunohistochemical Image Quantification

- Summary
- Subjects
- Related research
  (6)
- Metrics

Abstract

Reporting biomarkers assessed by routine immunohistochemical (IHC) staining of tissue is broadly used in diagnostic pathology laboratories for patient care. To date, clinical reporting is predominantly qualitative or semi-quantitative. By creating a multitask deep learning framework referred to as DeepLIIF, we present a single-step solution to stain deconvolution/separation, cell segmentation, and quantitative single-cell IHC scoring. Leveraging a unique

Related Organizations

Memorial Sloan Kettering Cancer Center
United States
Stanford University
United States
Department of Pathology Stanford University
United States
Stony Brook University
United States

Keywords

Generative Adversarial Networks, Cell biology, Multitask learning, Digital Pathology, Deep learning, Multiplex Immunofluorescence, Immunohistochemistry, Cell segmentation, H&E, Computational Pathology

Filter by relation

All relations

arrow_drop_down

6 Research products, page 1 of 1

Image Translation Based Nuclei Segmentation for Immunohistochemistry Images
descriptionPublication2022IsAmongTopNSimilarDocuments
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
more_vert
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides
descriptionPublication2022IsAmongTopNSimilarDocuments
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
more_vert
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
Deep Learning-Inferred Multiplex ImmunoFluorescence for IHC Image Quantification
descriptionPublication2021IsAmongTopNSimilarDocuments
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
more_vert
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
Deep Learning-Inferred Multiplex ImmunoFluorescence for IHC Image Quantification
descriptionPublication2021IsNewVersionOf
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
more_vert
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
DeepLIIF software on GitHub
integration_instructionsResearch softwareIsRelatedTo
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
more_vert
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
impartial software on GitHub
integration_instructionsResearch softwareIsRelatedTo
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu
more_vert
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
All Research products
arrow_drop_down
<script type="text/javascript">  </script>
COPY SCRIPT
For further information contact us at helpdesk@openaire.eu

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	58
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%