A visual–language foundation model for pathology image analysis using medical Twitter
A visual–language foundation model for pathology image analysis using medical Twitter
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New York: Nature Publishing Group US
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Language
English
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New York: Nature Publishing Group US
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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...
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A visual–language foundation model for pathology image analysis using medical Twitter
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TN_cdi_proquest_miscellaneous_2853947993
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2853947993
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ISSN
1078-8956
E-ISSN
1546-170X
DOI
10.1038/s41591-023-02504-3