PuSH - Publication Server of Helmholtz Zentrum München

Matek, C. ; Schwarz, S.* ; Spiekermann, K.* ; Marr, C.

Abstract: Recognition of AML blast cells in a curated single-cell dataset of leukocyte morphologies using deep convolutional neural networks.

In: Bildverarbeitung für die Medizin 2020. Switzerland: 2020. 53-54 (Inf. aktuell)
DOI Order publishers version
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.
Additional Metrics?
Edit extra informations Login
Publication type Article: Edited volume or book chapter
ISSN (print) / ISBN 1431-472X
e-ISSN 1431-472X
Book Volume Title Bildverarbeitung für die Medizin 2020
Quellenangaben Volume: , Issue: , Pages: 53-54 Article Number: , Supplement: ,
Publishing Place Switzerland
Reviewing status