Deep Learning Accurately Quantifies Plasma Cell Percentages on CD138-Stained Bone Marrow Samples Dee...
Deep Learning Accurately Quantifies Plasma Cell Percentages on CD138-Stained Bone Marrow Samples Deep Learning Accurately Quantifies Plasma Cell Percentages on CD138-Stained Bone Marrow Samples
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Elsevier
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English
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Elsevier
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The diagnosis of plasma cell neoplasms requires accurate, and ideally precise, percentages. This plasma cell percentage is often determined by visual estimation of CD138-stained bone marrow biopsies and clot sections. While not necessarily inaccurate, estimates are by definition imprecise. For this study, we hypothesized that deep learning can be u...
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Deep Learning Accurately Quantifies Plasma Cell Percentages on CD138-Stained Bone Marrow Samples Deep Learning Accurately Quantifies Plasma Cell Percentages on CD138-Stained Bone Marrow Samples
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TN_cdi_doaj_primary_oai_doaj_org_article_3922012ff2064343aeb0c50655ef11db
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3922012ff2064343aeb0c50655ef11db
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2153-3539
