Computational analysis of morphological and molecular features in gastric cancer tissues
Computational analysis of morphological and molecular features in gastric cancer tissues
About this item
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Publisher
United States: John Wiley & Sons, Inc
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Language
English
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Publisher
United States: John Wiley & Sons, Inc
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Contents
Biological morphologies of cells and tissues represent their physiological and pathological conditions. The importance of quantitative assessment of morphological information has been highly recognized in clinical diagnosis and therapeutic strategies. In this study, we used a supervised machine learning algorithm wndchrm to classify hematoxylin and...
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Full title
Computational analysis of morphological and molecular features in gastric cancer tissues
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TN_cdi_doaj_primary_oai_doaj_org_article_19207ab5a9f34cebb7d93f626d7556b8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_19207ab5a9f34cebb7d93f626d7556b8
Other Identifiers
ISSN
2045-7634
E-ISSN
2045-7634
DOI
10.1002/cam4.2885
