43/#512 Assessing robustness of an artificial intelligence derived histological biomarker across dif...
43/#512 Assessing robustness of an artificial intelligence derived histological biomarker across different sites of disease and in serial sections in tubo-ovarian high-grade serous carcinoma
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Kidlington: BMJ Publishing Group Ltd
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Language
English
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Publisher
Kidlington: BMJ Publishing Group Ltd
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Contents
ObjectivesHistological biomarkers may produce different predictions for a single patient when using whole slide images of biopsies from different sites and even serial sections of the same tissue. Previous work had developed a signature of AI-derived morphologic features correlated with response to platinum-based chemotherapy in tubo-ovarian high-g...
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Full title
43/#512 Assessing robustness of an artificial intelligence derived histological biomarker across different sites of disease and in serial sections in tubo-ovarian high-grade serous carcinoma
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TN_cdi_proquest_journals_2747762900
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2747762900
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ISSN
1048-891X
E-ISSN
1525-1438
DOI
10.1136/ijgc-2022-igcs.87
