Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear...
Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images
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Publisher
London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Contents
Identification of patients with early stage non-small cell lung cancer (NSCLC) with high risk of recurrence could help identify patients who would receive additional benefit from adjuvant therapy. In this work, we present a computational histomorphometric image classifier using nuclear orientation, texture, shape, and tumor architecture to predict...
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Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5648794
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5648794
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-017-13773-7
