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Automated Identification of Cell Populations in Flow Cytometry Data with Transformers
[article]
2021
arXiv
pre-print
Acute Lymphoblastic Leukemia (ALL) is the most frequent hematologic malignancy in children and adolescents. A strong prognostic factor in ALL is given by the Minimal Residual Disease (MRD), which is a measure for the number of leukemic cells persistent in a patient. Manual MRD assessment from Multiparameter Flow Cytometry (FCM) data after treatment is time-consuming and subjective. In this work, we present an automated method to compute the MRD value directly from FCM data. We present a novel
arXiv:2108.10072v1
fatcat:bhb2x6ybv5h7dfxi4txg4zlaoy