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Article

Learning a Cytometric Deep Phenotype Embedding for Automatic Hematological Malignancies Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 1 Jul 2019

Li Jeng-Lin, Wang Yu-Fen, Ko Bor-Sheng, Li Chi-Cheng, Tang Jih-Luh, Lee Chi-Chun

Abstract excerpt

Identification of minimal residual disease (MRD) is important in assessing the prognosis of acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). The current best clinical practice relies heavily on Flow Cytometry (FC) examination. However, the current FC diagnostic examination requires trained physicians to perform lengthy manual interpretation on high-dimensional FC data measurements of each...

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PMID: 31946232
DOI: 10.1109/EMBC.2019.8856728

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