2022 | OriginalPaper | Buchkapitel
Abstract: A Database and Neural Network for Highly Accurate Classification of Single Bone Marrow Cells
verfasst von : Christian Matek, Sebastian Krappe, Christian Münzenmayer, Torsten Haferlach, Carsten Marr
Erschienen in: Bildverarbeitung für die Medizin 2022
Verlag: Springer Fachmedien Wiesbaden
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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.