A Machine Learning Approach to the Classification of Acute Leukemias and Distinction From Nonneoplastic Cytopenias Using Flow Cytometry Data.
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DOI: 10.1093/ajcp/aqab148
Abstract: OBJECTIVES Flow cytometry (FC) is critical for the diagnosis and monitoring of hematologic malignancies. Machine learning (ML) methods rapidly classify multidimensional data and should dramatically improve the efficiency of FC data analysis. We aimed to… read more here.
Keywords: flow cytometry; nonneoplastic cytopenias; machine; acute leukemias ... See more keywords