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Matek, C. ; Krappe, S.* ; Münzenmayer, C.* ; Haferlach, T.* ; Marr, C.

Abstract: A database and neural network for highly accurate classification of single bone marrow cells.

In: (Bildverarbeitung für die Medizin). Switzerland: 2022. 159 (Inf. aktuell ; 923)
Fast and accurate morphological classification of cells in bone marrow samples is a key step in the diagnostic workup of many disorders of the hematopoietic system such as leukemias. In spite of its long-established key position, morphological examination of bone marrow samples has been difficult to automatise, and is still mainly performed manually by trained cytologists on light microscopes. In our contribution [1], we present a neural network for classification of light microscopy images of bone marrow samples.
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Publication type Article: Conference contribution
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 1431-472X
e-ISSN 1431-472X
Book Volume Title Bildverarbeitung für die Medizin
Conference Title Bildverarbeitung für die Medizin
Journal Informatik aktuell
Quellenangaben Volume: 923, Issue: , Pages: 159 Article Number: , Supplement: ,
Publishing Place Switzerland
Institute(s) Institute of Computational Biology (ICB)
Human-Centered AI (HCA)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503800-001
G-540007-001
Erfassungsdatum 2023-01-13
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