Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis usi...
Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation
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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
We evaluated the diagnostic performance and generalizability of traditional machine learning and deep learning models for distinguishing glioblastoma from single brain metastasis using radiomics. The training and external validation cohorts comprised 166 (109 glioblastomas and 57 metastases) and 82 (50 glioblastomas and 32 metastases) patients, res...
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Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7374174
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7374174
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-68980-6
