18F‑FDG PET/CT based radiomics features improve prediction of prognosis: multiple machine learning a...
18F‑FDG PET/CT based radiomics features improve prediction of prognosis: multiple machine learning algorithms and multimodality applications for multiple myeloma
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London: BioMed Central Ltd
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Language
English
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London: BioMed Central Ltd
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Purpose Multiple myeloma (MM), the second most hematological malignancy, have been studied extensively in the prognosis of the clinical parameters, however there are only a few studies have discussed the role of dual modalities and multiple algorithms of .sup.18F-FDG (.sup.18F-fluorodeoxyglucose) PET/CT based radiomics signatures for prognosis in M...
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18F‑FDG PET/CT based radiomics features improve prediction of prognosis: multiple machine learning algorithms and multimodality applications for multiple myeloma
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TN_cdi_doaj_primary_oai_doaj_org_article_a23d4a9ccf68433f85d62616d37ae510
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a23d4a9ccf68433f85d62616d37ae510
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ISSN
1471-2342
E-ISSN
1471-2342
DOI
10.1186/s12880-023-01033-2
