Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor–stroma ratio
Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor–stroma ratio
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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The tumor–stroma ratio (TSR) determined by pathologists is subject to intra- and inter-observer variability. We aimed to develop a computational quantification method of TSR using deep learning-based virtual cytokeratin staining algorithms. Patients with 373 advanced (stage III [n = 171] and IV [n = 202]) gastric cancers were analyzed for TSR. Mode...
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Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor–stroma ratio
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TN_cdi_doaj_primary_oai_doaj_org_article_665a23e325834b819fadac98a5eb0531
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_665a23e325834b819fadac98a5eb0531
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-98857-1
