Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer
Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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This study addresses the core issue facing a surgical team during breast cancer surgery: quantitative prediction of tumor likelihood including estimates of prediction error. We have previously reported that a molecular probe, Laser Raman spectroscopy (LRS), can distinguish healthy and tumor tissue. We now report that combining LRS with two machine...
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Full title
Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer
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TN_cdi_doaj_primary_oai_doaj_org_article_74b8e0603ab6427490c20c75e6ad68da
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_74b8e0603ab6427490c20c75e6ad68da
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-85758-6
