Recognition of AML Blast Cells in a Curated Single-Cell Dataset of Leukocyte Morphologies Using CNN
Channel: BVM Conference
Date: 2020-04-03

Reliable recognition and microscopic differentiation of malignant and non-malignant leukocytes from peripheral blood smears is a key task of cytological diagnostics in hematology [1]. Having been practised for well over a century, cytomorphological analysis is still today routinely performed by human examiners using optical microscopes, a process that can be tedious, time-consuming, and suffering from considerable intra-and inter-rater variability [2]. Our work aims to provide a more quantitative and robust decision-aid for the differentiation of single blood cells in general and recognition of blast cells characteristic for Acute Myeloid Leukemia (AML) in particular.

Further information are available under
https://link.springer.com/chapter/10.1007/978-3-658-29267-6_11