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Application of Machine Learning for Automatic MRD Assessment in Paediatric Acute Myeloid Leukaemia
2018
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods
Acute Myeloid Leukaemia (AML) is a rare type of blood cancer in children. This disease originates from genetic alterations of hematopoetic progenitor cells, which are involved in the hematopoiesis process, and leads to the proliferation of undifferentiated (leukaemic) cells. Flow CytoMetry (FCM) measurements enable the assessment of the Minimal Residual Disease (MRD), a value which clinicians use as powerful predictor for treatment response and diagnostic tool for planning patients' individual
doi:10.5220/0006595804010408
dblp:conf/icpram/LicandroRDDSK18
fatcat:hju4gzu52negnk5lsrxf2ah634