Deep learning classification of lung cancer histology using CT images
Deep learning classification of lung cancer histology using CT images
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissue sampling for pathologist review is the most reliable method for histology classification, however, recent advances in deep learning for medical image analysis allude to the utility of radiologic data in further describing disease characteristics an...
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Deep learning classification of lung cancer histology using CT images
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TN_cdi_doaj_primary_oai_doaj_org_article_aee30c44ddfb434390b4c517b7926517
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aee30c44ddfb434390b4c517b7926517
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-84630-x
