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A visual–language foundation model for pathology image analysis using medical Twitter

A visual–language foundation model for pathology image analysis using medical Twitter

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2853947993

A visual–language foundation model for pathology image analysis using medical Twitter

About this item

Full title

A visual–language foundation model for pathology image analysis using medical Twitter

Publisher

New York: Nature Publishing Group US

Journal title

Nature medicine, 2023-09, Vol.29 (9), p.2307-2316

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

The lack of annotated publicly available medical images is a major barrier for computational research and education innovations. At the same time, many de-identified images and much knowledge are shared by clinicians on public forums such as medical Twitter. Here we harness these crowd platforms to curate OpenPath, a large dataset of 208,414 pathol...

Alternative Titles

Full title

A visual–language foundation model for pathology image analysis using medical Twitter

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2853947993

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2853947993

Other Identifiers

ISSN

1078-8956

E-ISSN

1546-170X

DOI

10.1038/s41591-023-02504-3

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