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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)

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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

Corresponding Author

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, Pages: 159

Publishing Place Switzerland

Non-patent literature Publications

Institute(s) Institute of Computational Biology (ICB)
Institute of AI for Health (AIH)